ABSTRACT
Digitalization in tunneling supports excavation and cycle time documentation, but shift logs are still manually recorded. This leads to delays, inaccuracies, and insufficient granularity for precise evaluations, such as recalculations.
The I-WASP project addresses this by automating shift logs and time documentation collecting machine data. Advanced position sensing and inertial measurement technologies collect data independent of machine type or brand. This data is wirelessly transmitted to a central processing system, where rule-based algorithms and artificial intelligence analyze it to identify and visualize sub-processes chronologically.
The system reduces manual tasks for site managers, requiring only plausibility checks. It delivers high-resolution, consistent documentation and real-time monitoring, improving accuracy and efficiency.
The project enhances site management by enabling just-in-time insights and process optimizations. Detailed records support faster decision-making and streamline contract management and invoicing, contributing to significant improvements in overall construction efficiency.
