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Abstract

The partition monitoring method for concrete dam operation key parts provided by the disclosure firstly utilizes the extracted monitoring data time-frequency vector to partition the concrete dam key parts, and on this basis, obtains time series measurement data of different types of monitoring instruments with high temporal and spatial correlation, so as to establish a graph structure. Then, the dependence of time dimension and variable dimension of multivariate time series data is captured, and the relationship between further learning and representation of graph attention network is provided. Furthermore, the final feature representation of time series measured data is obtained, and finally the anomaly score is calculated through the final feature representation to detect anomalies. The complementary mutual verification of multiple measuring points of monitoring instruments with various types is realized. The structural integrity and spatial distribution law of concrete dams are fully embodied.

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