Building Information Modelling (BIM) is a globally adapted methodology by government organisations and builders who conceive the integration of the organisation, planning, development and the digital construction model into a single project. In the case of a heritage building, the Historic Building Information Modelling (HBIM) approach is able to cover the comprehensive restoration of the building. In contrast to BIM applied to new buildings, HBIM can address different models which represent either periods of historical interpretation, restoration phases or records of heritage assets over time. Great efforts are currently being made to automatically reconstitute the geometry of cultural heritage elements from data acquisition techniques such as Terrestrial Laser Scanning (TLS) or Structure From Motion (SfM) into BIM (Scan-to-BIM). Hence, this work advances on the parametric modelling from remote sensing point cloud data, which is carried out under the Rhino+Grasshopper-ArchiCAD combination. This workflow enables the automatic conversion of TLS and SFM point cloud data into textured 3D meshes and thus BIM objects to be included in the HBIM project. The accuracy assessment of this workflow yields a standard deviation value of 68.28 pixels, which is lower than other author’s precision but suffices for the automatic HBIM of the case study in this research.

The 3D digitization and Building Information Modeling (BIM), which is based on parametric objects, have considerably advanced by developing massive data capture techniques. Thus, reverse engineering currently plays a major role as these technologies capture accurately and efficiently the geometry, color and textures of complex architectural, archaeological and cultural heritage. This paper aims to validate close-range Structure from Motion (SfM) for heritage by analyzing the point density and the 3D mesh geometry in comparison with Terrestrial Laser Scanning (TLS). The accuracy of the results and the geometry mainly depends on the processing performed on the point set. Therefore, these two variables are significant in the 3D reconstruction of heritage buildings. This paper focuses on a 15th century case study in Seville (Spain): the main façade of Casa de Pilatos. Ten SfM surveys were carried out varying the capture method (simple and stereoscopic) and the number of shots, distances, orientation and procedure. A mathematical analysis is proposed to verify the point spatial resolution and the accuracy of the 3D model geometry by section profiles in SfM data. SfM achieved acceptable accuracy levels to generate 3D meshes despite disordered shots and the number of images. Hence, stereoscopic photography using new instruments improved the results of close-range photogrammetry while reducing the required number of photographs.

3D point cloud data from data acquisition techniques such as terrestrial photogrammetry, close range photogrammetry (CRP) and light detection and ranging (LiDAR) play a major role in heritage because of the large amount of information they provide. This data includes the metric accuracy of the objects surface, reflectivity information and materials texture. The point clouds can be exported to Building Information Models (BIM) to simplify the 3D modelling processes, thus becoming part of the restoration and reconstruction project. Currently, most scientific works in the field implement insertion procedures of point clouds into BIM, whose interoperability should be analysed in order to reveal its usefulness in heritage buildings modelling. This paper reviews the scientific literature on the integration of Terrestrial Laser Scanning (TLS) and Structure-from-Motion/Multi-View Stereo (SfM/MVS) data into HBIM. Despite having been investigated, this field lacks a methodological structure regarding the integration of point cloud data into HBIM.

The benefits of Building Information Modelling (BIM) accrue from the needs of the interoperability of applied technologies. This scope is strongly related to heritage buildings. Protection plans encompassing phases of heritage conservation, interpretation, intervention and dissemination could lead to a sustainable model through a TeamWork-HBIM project. This work develops a step by step semantically enriched 3D model, from accurate data acquisition to the creation of a container of artistic assets. TeamWork-HBIM acts as a database for movable assets, i.e., parametric objects (GDL) with graphical and semantic information, which are valid for recording, inventory and cataloguing processes. Thus, heritage properties were created and used to create recording and inventory sheets related to movable assets. Consequently, a parametric object was edited in the HBIM project, so a new category called “Heritage Furniture” was available. Data from the monitoring of the artistic asset were included in that category. In addition, the specialist technicians from the TeamWork-HBIM team catalogued a dataset related to artistic, historical and conservation properties. Another advantage of the system was the reliability of the structure of the HBIM project, which was based on the actual geometry of the building provided by the point clouds. The information was valid for both modelling works and specialists in virtual monitoring. Moreover, the reliability of metadata was collected in a common data environment (CDE), which was available for everyone. As a result, the Teamwork-HBIM-CDE project meets the needs of private institutions, such as the Foundation of the Church of the Company of Jesus in Quito, related to the sustainability of the historic site. This sustainability is shown by the implementation of a methodology that strengthens the interdisciplinary information flow by including all disciplines of historical heritage.

Building Information Modeling for the conservation and maintenance of architectural and cultural heritage is a great scientific debate nowadays. The creation of an HBIM model allows managing the geometry of the building and exchanging information between the experts involved in the conservation of historic buildings. This paper fosters the creation of an as-built-HBIM containing detailed structural deformations, for which modeling processes with scarce presence in the scientific literature are required. In this sense, two modeling procedures for a structural HBIM Project are proposed for the Pavilion of Carlos V in the Real Alcázar in Seville, Spain. Also, two states of the structural HBIM Project of the Pavilion are geometrically analyzed: 1) theoretical-HBIM, without deformations, generated by using measurements from documentary sources, and 2) as-built-HBIM created from point clouds from terrestrial laser scanning and photogrammetry. The results of this paper show significant structural discrepancies in the geometry between both HBIM Projects.

The preservation of the architectural heritage is characterized by the intervention of different technicians, who may disagree on decision-making criteria. In recent years, the H-BIM methodology has emerged to manage these buildings, although the multidisciplinary technical personnel make the decision-taking something of a challenge. In this regard, artificial intelligence may be an opportunity to establish automatic responses, thus optimizing the process. This article proposes a methodology to implement models of classification using the J48 algorithm in a H-BIM model. The case study was focused on a tiles panel from a building which belongs to the Real Alcazar of Seville. First, a model of classification was developed to estimate the degree of intervention with an adequate degree of adjustment. Then, the model was implemented in the H-BIM software by programming using GDL. This methodology automates the decision-making and reduces times of assessments, visualizing and managing the information in the H-BIM model.