Analysis of water inflow from diversion tunnel of hydropower station based on computer vision technology and 3D spatial modeling

Rui Fu; Yongyuan Huang; Linghua Hou; Qiqi Ding; Long Xu

doi:10.1117/12.3055604

12 December 2024 Analysis of water inflow from diversion tunnel of hydropower station based on computer vision technology and 3D spatial modeling

Rui Fu, Yongyuan Huang, Linghua Hou, Qiqi Ding, Long Xu

Author Affiliations +

Proceedings Volume 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024); 134391X (2024) https://doi.org/10.1117/12.3055604
Event: Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 2024, Xiamen, China

Abstract

This paper focused on the two key points of three-dimensional space irregularity and water level recognition in the monitoring of inflow from diversion tunnel. The water volume of diversion tunnel was obtained based on the spatial modeling technology of three-dimensional laser scanning and the detection algorithm of water level edge line based on Canny. Firstly, the mapping relationship between diversion tunnel elevation and water volume was obtained through three-dimensional space modeling. On this basis, a suitable viewing Angle was selected to deploy the camera, and the mapping data of the actual height between the reference points and the image pixel height were collected and fitted through reference point calibration. Finally, the pictures including the vertical wall and water level of the working platform of the diversion tunnel were obtained regularly. Canny algorithm was used to identify the horizontal edge line of the working platform and water level line, and the pixel height of the water level line from the edge of the platform was obtained. Then, the pixel height of the water level from the edge of the platform was converted into the actual water level, and the relationship between the elevation and the volume of available water was substituted to obtain the water volume. By comparing the actual measured water level height with the calculated water level in this scheme, the error was only 0.75%. Based on this method, the selection and start-stop control of auxiliary diversion tunnel drainage pump unit have been verified by practice.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rui Fu, Yongyuan Huang, Linghua Hou, Qiqi Ding, and Long Xu "Analysis of water inflow from diversion tunnel of hydropower station based on computer vision technology and 3D spatial modeling", Proc. SPIE 13439, Fourth International Conference on Testing Technology and Automation Engineering (TTAE 2024), 134391X (12 December 2024); https://doi.org/10.1117/12.3055604

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KEYWORDS

Edge detection

3D modeling

Detection and tracking algorithms

Image processing

LIDAR

Tunable filters

Cameras

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