Abstract:
Due to the hidden aspect of work below ground, the documentation of subsurface civil engineering works is subject to high demands in order to make the invisible traceable. With advancing digitization, and the ever-increasing amounts of data produced, there is a growing demand for digital data management systems. These are playing an increasingly important role in organizational and documentation processes at construction sites. They are the missing link between execution processes, building information modeling (BIM) and enterprise resource planning (ERP) systems. The aim of this article is to show the vital role of standardized construction and documentation processes and the methodology of the developed data management system, eguana SCALES, which made it possible to track and analyze these processes for grouting. Project-specific requirements, according to different grouting construction methods and in line with international standards and technical literature, lead to the current data management structure. Traditional systems are built upon spreadsheets or proprietary programs. In contrast, digital data management is characterized by direct interfaces from the sensors to the database and further billing and archiving. This data flow is characterized by location-independent communication elements. The cloud-based web platform follows a five-step model. First the supervised grouting data is allocated and uploaded automatically from the pump control systems. Depending on the grouting method, a sequenced process proposal for every pump is generated by the digital process management module, which allows for continuous documentation on site. Through process aggregation and a scaling algorithm, data are analyzed at the plant level. This led to defining Key Performance Indices (KPIs) and plant characteristic curves which are summarized on the system´ s dashboard. Through further research, Monte-Carlo-Simulations were established to assess process stability and remaining construction time, using the KPIs and additional data of the construction reports.