From 3d Surveying Data to Bim to Bem: The Incube Dataset

Abstract

Abstract. In recent years, the improvement of sensors and methodologies for 3D reality-based surveying has exponentially enhanced the possibility of creating digital replicas of the real world. LiDAR technologies and photogrammetry are currently standard approaches for collecting 3D geometric information of indoor and outdoor environments at different scales. This information can potentially be part of a broader processing workflow that, starting from 3D surveyed data and through Building Information Models (BIM) generation, leads to more complex analyses of buildings’ features and behavior (Figure 1). However, creating BIM models, especially of historic and heritage assets (HBIM), is still resource-intensive and time-consuming due to the manual efforts required for data creation and enrichment. Improve 3D data processing, interoperability, and the automation of the BIM generation process are some of the trending research topics, and benchmark datasets are extremely helpful in evaluating newly developed algorithms and methodologies for these scopes. This paper introduces the InCUBE dataset, resulting from the activities of the recently funded EU InCUBE project, focused on unlocking the EU building renovation through integrated strategies and processes for efficient built-environment management (including the use of innovative renewable energy technologies and digitalization). The set of data collects raw and processed data produced for the Italian demo site in the Santa Chiara district of Trento (Italy). The diversity of the shared data enables multiple possible uses, investigations and developments, and some of them are presented in this contribution.

Energy Performance Analysis of the Renovation Process in an Italian Cultural Heritage Building

“…The previous survey of the literature indicates a great interest in the renovation of buildings with cultural heritage importance due to the numerous energy-and societyrelated benefits. In this direction, the present work examines a deep renovation strategy of a building with cultural heritage status located in Trento, Italy [25]. The examined location is of great importance as the province of Trento possesses 700 public heritage buildings, of which 166 belong to the public building stock with a registered consumption higher than 45 kWh/m 3 y [26].…”