Author(s): Hairong Gao; Zihan Liu; Yu Han

Linked Author(s):

Keywords: Eagle-eye bionic ision; Channel flow field identification; Intelligent flow measurement equipment

Abstract: This manuscript establishes a cloud-edge integrated platform for intelligent perception of hydrological information. It constructs an Eagle-eye bionic vision intelligent flow measurement model and equipment suitable for multi-level canal networks, achieving real-time perception of water information and quantified representation of the entire flow field. The Eagle-eye bionic vision intelligent flow measurement equipment integrates a monocular camera and a binocular camera. The monocular camera is utilized to capture surface flow images of the channel. The binocular camera recognizes the waterline based on the deep learning algorithm, constructs the triangular model of water level, measuring point and distance measurement, and senses the depth of parallax in binocular stereo sense, and monitors the water level information of the canal system in real time. Further integration of monocular flow measurement and binocular water depth recognition technologies, combined with logarithmic laws, allows for the derivation of cross-sectional average flow velocity.

DOI: https://doi.org/10.3850/iahr-hic2483430201-54

Year: 2024