Determination Method of Early Morphology of Landslide Line Based on Optimal Arrangement of Sensors

Abstract

The invention discloses a sensor optimized arrangement-based landslide line early-stage form determining method. The method includes the following steps that: step 10) landslide line estimated line form is determined; step 20) a target monitoring point is determined on the landslide line estimated line form; step 30) the attenuation calculation radius of acoustic emission signals of mountain acoustic emission sources is determined; step 40) acoustic emission sensors or shared acoustic emission sensors are arranged around the target monitoring point; and step 50) a monitoring data receiving device is utilized to receive and analyze acoustic emission signals acquired by the acoustic emission sensors or shared acoustic emission sensors, and the acoustic emission sources are connected together so as to be adopted as the early-stage form of a landslide line. According to the determining method, the arrangement of the sensors is optimized, and a maximized monitoring range can be realized with a small number of sensors required, and therefore, the monitoring efficiency, precision and tolerance of the acoustic emission sensors can be greatly improved, and the accuracy of landslide early warning can be ensured.

Description

technical field [0001] The invention relates to the field of monitoring landslide lines, in particular to a method for determining the early form of landslide lines based on the optimal arrangement of sensors. Background technique [0002] Large-scale landslides are becoming more and more serious, especially in mountainous provinces and cities. Once a large-scale landslide occurs, traffic interruption will occur on the expressway between mountains, and the roadbed and pavement will be damaged. The bridge structure in the expressway network will be directly damaged, resulting in long-term traffic interruption. For example, a landslide occurred on the Chengya Expressway in 2011, and 300,000 cubic meters of landslide instantly submerged the expressway pavement, which was more than 200 meters long. In addition, if the landslide disaster cannot be effectively forecasted in time, it may cause serious casualties. For example, there have been cases of missing or casualties due to l...

AI Technical Summary

Problems solved by technology

However, these traditional monitoring methods are easily affected by harsh environments (such as climate, terrain, etc.) Real-time monitoring of continuous subtle geological activities in the deep underground

It is generally believed that the landslide process is actually a process in which the landslide body continuously emits various information. The initial information can only be sensed in the landslide body, and it will be transmitted to the surface to a certain extent. It can only be captured by the apparent monitoring equipment when there is a macroscopic movement. At this time, the landslide has already occurred, and it is impossible to predict in advance with enough time.

Obviously, if the landslide prediction is carried out by monitoring the changes of the mountain body, the traditional landslide monitoring method which takes the appearance phenomenon as the monitoring object at this stage is far from meeting the requirements of practical application.

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