Multispectral augmented reality deepwater overhaul visual expert system

Abstract

The invention discloses a multispectral augmented reality deepwater overhaul visual expert system, comprising a multispectral machine vision underwater imaging subsystem which is used for collecting reservoir damp surrounding signals under complex deepwater conditions and generating underwater image data of deepwater dams in real time; a 3D scene augmented reality subsystem which is used for establishing 3D scene images according to the underwater image data of the deepwater dams and generating 3D augmented reality integrated images; and a video expert command subsystem which is connected withthe multispectral machine vision underwater imaging subsystem and the 3D scene augmented reality subsystem and is used for remotely controlling and managing the multispectral machine vision underwater imaging subsystem, computing disease types of the deepwater dams in real time according to the underwater image data of the deepwater dams, the environment data and the 3D augmented reality integrated images, issuing warning information and generating command measures for overhaul work. According to the system, various difficulties such as the fact that lighting conditions are complex, water suspended particles scatter and refract rays and real-time command is limited in a deepwater dam overhaul process can be solved.

Description

technical field [0001] The invention relates to the technical field of water conservancy facility dam safety monitoring, in particular to a multi-spectral augmented reality deep-water maintenance visualization expert system. Background technique [0002] In the maintenance of deep-water dams, due to complex lighting conditions, light scattering and refraction by suspended particles in the water body, blurred image capture, limited display of scene information in deep water, types and sizes of dangerous situations, etc., it causes various problems such as difficult judgment and real-time command restrictions. [0003] The existing deep-water dam maintenance adopts the following two forms: [0004] (1) Underwater maintenance by divers [0005] This method has the following problems: the depth of the dive is limited; it is dangerous for divers to go into the water for inspection; the visibility of the water body in the reservoir is low, and the human eye cannot see clearly; it...

AI Technical Summary

Problems solved by technology

[0005] This method has the following problems: the depth of diving is limited; it is dangerous for divers to go into the water for inspection; the visibility of the water body in the reservoir is low, and the human eye cannot see clearly; it is difficult for divers to carry out repair work underwater;

[0007] This method has the following problems: the submersible has a limited viewing angle, and it is difficult to control the rotation and displacement; ordinary optical imaging is difficult to adapt to the complex water quality environment; it is difficult for shore experts to fully understand the underwater real scene

[0008] To sum up, how to quickly and effectively carry out deep water real-time online exploration to find hidden dangers such as deformation, cracks, seepage, etc., reduce the defects of repeatability and poor guidance of maintenance work, and carry out timely and effective reinforcement treatment of dam projects has always been a key issue of water conservancy. Important Topics in Engineering Management

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