Automated supplement of information requirements for tendering data

Abstract: This paper examines data from information exchange requirements (IER) using a two-part case study, in which Germany-specific tendering, assignment and invoicing data (TAI) was attributed to a model for selected elements automatically using IER and self-developed algorithms, where the attributed object is connected to partial services in the quantity take-off (QTO). A comparison of determined quantities from the calculating software with the calculated quantities from the authoring tool validated the automated mapping of TAI data to the modelled objects and the items in the QTO. The result is a user-friendly attribution option for digital twins with TAI-compatible data.