Completely Automatized Recognition of the Manufacturing Process in Special Foundation ConstructionÂ-Video

Video Transcription

Video Summary

The presentation examines digitizing CFA piling documentation and monitoring. Traditional handwritten records and tablet-based activity logging depend on operator input and provide limited detail. By analyzing rig sensor data with a state-machine model, installation steps can be detected automatically and compared with operator entries. This enables more accurate, reproducible performance indicators, including drilling speeds, process durations, and evidence of verticality checks. Data can be analyzed across all piles with minimal site effort, improving quality control, historical analysis, and timely decision-making. Tablet input remains useful for activities that sensors cannot detect, such as entering pile numbers.

Keywords

CFA piling digitization

rig sensor data

state-machine model

installation monitoring

quality control