Remote online monitoring and early warning method for large structures

Abstract

The invention discloses a remote on-line monitoring and early warning device for large structures, which comprises a sensor body (9) installed far away from the structure (1), and several photoelectric targets (12) arranged in the monitoring area of ​​the structure ) and at least one reference target (13); the sensor body (9) includes a casing (7) and an optical lens (1), an image sensor (2) and a core control unit arranged inside the casing (7) (3), the optical lens (1) is aimed at the structure monitoring area, and a narrow-band filter (23) for position switching is arranged between the optical lens (1) and the image sensor (2); the transmission wavelength of the narrow-band filter and The emission wavelengths of the photoelectric target and the reference target are matched; the device of the present invention realizes the monitoring of the displacement parameters of the structure and the monitoring of the shape monitoring image, online early warning, and can send the data and images to the control center. A set of sensors takes into account both use.

Description

technical field [0001] The invention belongs to the technical field of structure monitoring, and specifically relates to a device and method based on a digital image displacement sensor and used for remote on-line monitoring, monitoring and early warning of large structures such as slopes and tunnels. Background technique [0002] Large structures such as slopes and tunnels are prone to disasters such as landslides and collapses due to geological changes and the influence of the natural environment, seriously affecting people's traffic safety and the safety of life and property. It is of great significance to carry out real-time online monitoring of structures with potential safety hazards and forecast their deformation development trends in order to detect dangers in time and avoid safety accidents. [0003] At present, the detection methods in the field of slope safety monitoring mainly include stress-based detection and displacement-based detection. The stress-based moni...

AI Technical Summary

Problems solved by technology

By real-time shooting of a series of regular circular feature points marked on the slope of the slope, the two-dimensional coordinates of all marked points at each moment are obtained, and then the two-dimensional coordinates are matched by the program to obtain the three-dimensional coordinates of the space , so that the three-dimensional information of the slope surface soil can be obtained. The problem is that this method of marking and feature point extraction is difficult to achieve accurate measurement of slope displacement and deformation

The problem is that there are many types of sensors and the price is expensive. In addition, the sensors only have the early warning function and do not have the function of transmitting images and videos to the remote end, which is not conducive to the emergency treatment of artificial decision-making in the background.

Images