Research on Novel Dam Safety Monitoring Method Integrating Machine Vision and ESMD-ApEn Algorithm
To achieve the automation of deformation monitoring in hydroelectric engineering,this paper introduces a novel machine vision measurement system for real-time measurement and analysis of the external deformation of dams.Firstly,a detailed explanation for the principles of the machine vision system is provided.Subsequently,a new algo-rithm,named the Extreme-Point Symmetric Mode Decomposition Method combined with Approximate Entropy(ESMD-ApEn)algorithm,is constructed for multi-modal decomposition and reconstruction of machine vision monitoring se-quences.Based on the Lyddane-Shindo and the Interquartile Range(IQR)criterion,the ESMD-ApEn algorithm is used to identify and eliminate anomalies in the reconstruction residuals between the ESMD-ApEn algorithm and the machine vi-sion prototype monitoring sequences.Case studies demonstrate that the integrated monitoring method can achieve the au-tomation and real-time observation of external deformation in dams.Additionally,with the introduction of an infrared supplementary lighting system,it can accurately acquire dam deformation monitoring data even during nighttime and ad-verse weather conditions such as rain and snow,ensuring the safe and stable operation of the dam.
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