Zum Einsatz automatisierter Pipelines zur Datenqualifizierung im Talsperrenmanagement

This article examines the automated data qualification of structural data in the dam industry, in particular the connection between the SICA algorithm from Okeanos and the Aquarius measurement data management system from Aquatic Information. The reliable collection and evaluation of this data is crucial for the safety and efficiency of dams. The focus is on the latest developments in automated data qualification, including artificial intelligence and machine learning for error detection and correction. The SICA algorithm is characterized using unsupervised learning, which enables a flexible and adaptive solution for structural analysis. A practical example illustrates the application of the SICA algorithm in conjunction with Aquarius and provides insights into the further development of automated data qualification in the dam management.