Construction and manufacturing equipment generates vast amounts of IoT sensor data, but transforming this raw data into actionable process insights remains a major challenge. Our approach revolutionizes this by automatically detecting and classifying meaningful activities from unstructured IoT data streams. Using advanced AI, we extract equipment activities and their temporal relationships from sensor data, creating standardized event logs that power process mining analysis.
