Partition monitoring method and model for concrete dam operation key part

An partition monitoring model for concrete dam operation key parts, comprising:

• a data acquisition module configured for dividing the concrete dam operation key parts into partitions and obtaining time series measurement data of monitoring instruments with different types in one of the partitions;
• a feature graph construction module configured for establishing graph structures on the time series measurement data in a time dimension and a variable dimension respectively to obtain a time feature graph and a variable feature graph;
• an attention mechanism module configured for inputting the time feature graph and the variable feature graph into a time graph attention network and a variable graph attention network respectively to obtain a time attention matrix and a variable attention matrix;
• a target feature acquisition module configured for splicing and inputting the time series measurement data, the time attention matrix and the variable attention matrix into a gated convolution network to obtain a target feature;
• an anomaly detection module configured for calculating an abnormal score according to the target feature, wherein the anomaly detection module judges a concrete dam operation being abnormal if the abnormal score exceeds a preset threshold.