Slope deformation three-dimensional monitoring system and method based on multiple sensors

Abstract

The invention provides a slope deformation three-dimensional monitoring system and method based on multiple sensors. According to the invention, complete surface slope monitoring executed by three-dimensional laser scanning and point position slope monitoring executed by multiple types of sensors are comprehensively applied; slope area grading division is determined through point cloud data analysis of three-dimensional laser scanning, and analysis is performed by combining multi-sensor data of monitoring point positions in different grading areas and utilizing an area applicable model, so that the stability conditions of the whole slope and each area are obtained, and the deformation degree and risk of the slope are analyzed and predicted. The method adapts to complex diversified structures and states of the side slope, effectively combines the overall condition of the side slope, and can accurately analyze and predict the stability state of the side slope.

Description

technical field [0001] The invention relates to the field of civil engineering, in particular to a multi-sensor based three-dimensional monitoring system and method for slope deformation. Background technique [0002] In the construction process of roads, railways, mines, dams and other projects, it is inevitable that artificial or natural slopes composed of earth, sand, rocks, etc. will be formed, which are called slopes; slopes are complex deformable Guided by various internal or external factors, it is prone to slope deformation and landslide accidents, resulting in economic losses and even casualties. Therefore, it is very important in this field to monitor the slope deformation of the slope structures of highways, railways, mines, dams, etc., analyze its stability, judge the risks brought by slope deformation, and give early warning to possible landslide accidents. Concerns. [0003] The commonly used slope monitoring methods in the prior art include surface displacem...

AI Technical Summary

Problems solved by technology

The total station electronic measuring instrument can measure the distance, angle, elevation difference and other parameters of the monitoring points on the slope surface, and then obtain the displacement, velocity and deformation of the monitoring points on the slope surface, and then calculate the slope stability according to a specific conversion , has the advantages of low equipment cost, simple operation, and high precision. However, this method belongs to point monitoring and can only be implemented on very limited monitoring points on the slope surface. It is not suitable for slope monitoring with a relatively large distribution range and spatial area. It is not conducive to the monitoring and prediction of the overall stability trend of the slope, and it relies on the manual implementation of technicians, which has a low degree of automation and is greatly affected by the natural environment

GPS-based slope deformation monitoring is to lay out reference points and monitoring points on the slope surface, and install a monitor with GPS positioning and communication transmission functions at each point. The data is sent to the background, and the background obtains the displacement, velocity and deformation of the slope through the calculation and analysis of the GPS position data of all points, so as to realize the monitoring of the stability of the slope. The deformation monitoring of the slope based on GPS can achieve all-weather Real-time monitoring has a high degree of automation, but it still belongs to point monitoring, which is not easy to reflect the overall deformation trend of the slope. It has high requirements on the surrounding environmental conditions for point selection, and is prone to interference or failure. A certain number of monitors are required. When the slope space is large, the equipment cost is relatively high

The slope monitoring of 3D laser scanning is an active, non-contact stereoscopic monitoring. Through multi-phase scanning of the monitored slope, the 3D point cloud data of the entire slope surface can be obtained, and then the entire slope can be obtained after post-processing. The displacement and deformation of the slope surface, the analysis of the stability of the slope, and the excavation of parts with deformation and landslide trends have the advantages of accuracy, rapidity, strong real-time performance, and high degree of automation. There are still some shortcomings in small-scale local deformation monitoring, including the difficulty in extracting local error areas from point cloud data and the defects of large extraction errors

Internal deformation monitoring and auxiliary monitoring can more accurately reflect the internal structural conditions of the slope in a local area, which has important reference significance for slope stability analysis and landslide prediction. However, the problem in the existing technology is that both internal deformation monitoring and auxiliary monitoring It belongs to point monitoring, but various slopes have complex and diverse structures and states. Under different structures and states, internal deformation monitoring and auxiliary monitoring for points have different degrees of applicability and representativeness. If it is not effective Combined with the overall condition of the slope, the stability state of the slope cannot be accurately analyzed and predicted

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