2results about How to "Standardized" patented technology

The application discloses an industrial sensor data anomaly detection and repair method based on an attention mechanism, belongs to the technical field of industrial data processing, and carries out preprocessing on original data to obtain standardized data segments, a training set and a test set; end-to-end collaborative training is carried out on the training set to obtain a dynamic space-time attention detection model and a multi-scale self-attention repair model; the standardized data segments are input into the dynamic space-time attention detection model for anomaly detection to obtain abnormal related information; the standardized data segments and the abnormal related information are input into the multi-scale self-attention repair model for data repair to obtain repaired data; secondary verification and parameter fine-tuning operations are performed on the repaired data to obtain compliant repair data; and the POT algorithm is used to dynamically adjust an abnormality judgment threshold value, and normal industrial sensor data or compliant repair data is output. By using the above method, accurate detection and compliant repair of industrial sensor data anomalies are realized.

This invention discloses a method for classifying and weighted lifespan assessment of power grid assets based on operating environment fingerprint features, relating to the field of power system operation and maintenance technology. The method includes: generating a fingerprint feature vector of the operating environment based on the temporal environmental parameters of the asset's operating environment and periodically calibrating and updating it; obtaining a secondary classification label for the power grid asset based on the fingerprint feature vector; obtaining depreciation correction terms and their weights based on the secondary classification labels, and combining this with the initial depreciation amount to obtain the dynamic depreciation amount of the power grid asset; obtaining the temporal decay degree of the fingerprint feature vector, obtaining an asset lifespan characterization quantity based on the temporal decay degree and the dynamic depreciation amount, and calculating the weighted remaining lifespan of the power grid asset based on the characterization quantity. This invention addresses the problems in existing technologies where the operating environment characteristics of power grid assets are not uniformly benchmarked, and the impact of actual asset degradation and loss on the remaining lifespan of the asset is not considered during the lifespan assessment process.