Beyond Crude 3D Models: From Point Clouds to Historical Building Information Modeling via NURBS

Author(s):  
Daniela Oreni ◽  
Raffaella Brumana ◽  
Fabrizio Banfi ◽  
Luca Bertola ◽  
Luigi Barazzetti ◽  
...  
Author(s):  
Jean Doumit

Structure from motion (SFM) algorithms greatly facilitates the production of detailed 3D models from photographs we applied this technology for the purposes of Building Information Modeling (BIM) of a historic fortress in Lebanon. Aerial and terrestrial imagery processed in SFM-based software for exterior and interior 3D modeling of the fortress. In this paper, we applied new geospatial technologies, aerial and terrestrial photogrammetry for Historic Building Information Modeling HBIM database construction. The UAV used for aerial photogrammetry, a DJI Phantom 4 pro with a camera of 20 megapixels for building facades capturing and a DSLR camera for the terrestrial photogrammetry inside the fortress. Aerial and terrestrial images processed in Agisoft Photoscan for the construction of Toron fortress HBIM of a block Geographical Information System constituted from points cloud, Digital Surface Models (DSM) and Digital Ortho Models (DOM). HBIM is a novel prototype library of parametric objects, based on historic architectural and archeological data and a system for mapping parametric objects on to point clouds database. As a result, the production of Toron fortress HBIM database containing Geographical Information Systems (GIS) and Computer Aided Design (CAD) features and entities in the form of sections plans and 3D models for both the analysis and conservation of historic objects, structures, and environments.


Author(s):  
M. Lo Brutto ◽  
E. Iuculano ◽  
P. Lo Giudice

Abstract. The preservation of historic buildings can often be particularly difficult due to the lack of detailed information about architectural features, construction details, etc.. However, in recent years considerable technological innovation in the field of Architecture, Engineering, and Construction (AEC) has been achieved by the Building Information Modeling (BIM) process. BIM was developed as a methodology used mainly for new construction but, given its considerable potential, this approach can also be successfully used for existing buildings, especially for buildings of historical and architectural value. In this case, it is more properly referred to as Historic – or Heritage – Building Information Modeling (HBIM). In the HBIM process, it is essential to precede the parametric modeling phase of the building with a detailed 3D survey that allows the acquisition of all geometric information. This methodology, called Scan-to-BIM, involves the use of 3D survey techniques for the production of point clouds as a geometric “database” for parametric modeling. The Scan-to-BIM approach can have several issues relating to the complexity of the survey. The work aims to apply the Scan-to-BIM approach to the survey and modeling of a historical and architectural valuable building to test a survey method, based on integrating different techniques (topography, photogrammetry and laser scanning), that improves the data acquisition phase. The “Real Cantina Borbonica” (Cellar of Royal House of Bourbon) in Partinico (Sicily, Italy) was chosen as a case study. The work has allowed achieving the HBIM of the “Real Cantina Borbonica” and testing an approach based exclusively on a topographic constraint to merge in the same reference system all the survey data (laser scanner and photogrammetric point clouds).


2018 ◽  
Vol 33 ◽  
pp. 01047 ◽  
Author(s):  
Vladimir Badenko ◽  
Dmitry Zotov ◽  
Alexander Fedotov

In this article the analysis of gaps in processing of raw laser scanning data and results of bridging the gaps discovered on the base of usage of laser scanning data for historic building information modeling is presented. The results of the development of a unified hybrid technology for the processing, storage, access and visualization of combined laser scanning and photography data about historical buildings are analyzed. The first result of the technology application for the historical building of St. Petersburg Polytechnic University shows reliability of the proposed approaches.


Author(s):  
D. Del Pozzo ◽  
B. Scala ◽  
A. Adami

Abstract. The archaeological site is a mine of data and information that helps to deepen the knowledge of its origin, history, and structure. This virtuous approach becomes even more effective when these data, properly processed and structured, form the basis for a project of conservation and enhancement of the cultural asset.The Roman mosaics dug in Castiglione delle Stiviere in 1995 represent an interesting case in which all the archaeological information, made available by the Superintendence, was used through an HBIM (Historical Building Information Modeling) approach for the conservation project. The Stratigraphic Units (US) of the findings have identified the strategy for the geometric and informative modeling of the BIM (Building Information Modeling) model and have also been exploited in the design phase for the project of the new roof structure and especially for the cost analysis. The structuring of the data by stratigraphic units was also used in the drafting of the preventive and planned conservation, necessary to enhance and prolong the state of good health of the property.This work has been developed in the internship activity within a training course on HBIM, in collaboration with the Diocese of Mantua, owner of the property.


2015 ◽  
Vol 11 (5) ◽  
pp. 57
Author(s):  
Li Wang ◽  
Zhi-kai Zhao ◽  
Na Xu

3D models classification is a critical process of Building Information Modeling (BIM). A Deep Learning Approach is proposed to classify 3D models in BIM environment. The ray based feature extraction algorithm is used to extract features of 3D models and form features matrix. The Deep Belief Network constructed by Restricted Boltzmann Machines applies the features matrix and classifies the models adopting the effective training process. The process of training DBN is layer by layer. Experiments were taken on the public 3D model library of PSB model database. The results show that compared with several commonly used classification method, the proposed method of this paper has achieved good results in the 3D model classification for efficiently BIM.


Author(s):  
E. S. Soonwald ◽  
A. E. Wojnarowski ◽  
S. G. Tikhonov ◽  
O. V. Artemeva ◽  
S. V. Tyurin

<p><strong>Abstract.</strong> Development and implementation of information models of spatial objects affect broadest application areas currently. Building Information Models (BIMs) are now becoming extremely popular. These models are able to describe a great number characteristics of building or engineering construction, including physical and functional properties, economic parameters, visual parameters, etc. BIM use is introduced currently as the mandatory aspect of building life cycle management, from design and construction to demolition. However, implementation of the BIM concept into the reconstruction, restoration and conservation of historical and cultural heritage remains the least developed domain. Therefore, research and development activities concerned with HBIMs (Historical Building Information Models) are particularly relevant. Saint Petersburg being the second largest Russian city has a huge number of architectural monuments, while industrial architecture composes a special category of these monuments. We provided a number of research and development activities devoted to the 3D information modelling of industrial architectural monuments located in St. Petersburg. Context of these works was established by the reconstruction and adaptation of these monuments to modern needs. 3D models of buildings were produced basing on results of the laser scanning and photogrammetric survey. Basing on our work, we have formalized main approaches to design and implementation of Building Information Models of the industrial architectural monuments.</p>


Author(s):  
Reihaneh Samsami ◽  
Amlan Mukherjee ◽  
Colin N. Brooks

The transportation infrastructure management sector lacks automated procedures that can help it find and resolve the performance deviations. The objective of this research is to illustrate the mapping of Unmanned Aerial System (UAS) collected photogrammetric data to building information modeling (BIM) parameters, and their application for automated construction progress monitoring and the generation of as-built models. The goal is to support project managers to estimate project progress during highway construction. As a part of ongoing work, this paper takes into account 4D (3D + time) data that is acquired from 3D surface digital elevation models, point clouds, LiDAR data, and orthographic photos. It maps these 4D data onto BIM parameters to create as-built models of the project at different intervals. A comparison between as-planned and as-built models using the earned value management method is employed to develop metrics that can be used for indicating cost and schedule deviations during construction. The mapping methodology introduced in this paper is illustrated using an ongoing highway construction project case study. The main contribution of this paper is the organization, processing, and integration of UAS data with BIM data structures and project management workflows. The research outcomes will assist project managers in an easy and quick identification of potential performance problems and support the project management decision-making process.


Author(s):  
Konstantina Siountri ◽  
Emmanouil Skondras ◽  
Dimitrios D. Vergados

Building information modeling (BIM) is a revolutionary technology that provides all the necessary mechanisms to achieve end-to-end communication, data exchange and information sharing between project actors, leading to smarter outcomes for communities and more efficient projects for AEC service providers. 3D models generated in the context of engaging in the BIM process and as-delivered physical assets through building management systems (BMS) adopt Internet of Things (IoT) architectures and services. However, the orchestration of IoT devices in a highly modular environment with many moving parts and inter-dependencies between the stakeholders of this environment, lead to many security issues. This article focuses on applying novel technologies in the construction industry, such as BIM, IoT, and Blockchain, but also on examining their interconnection and interoperability on a proposed system architecture on a case of a building (museum), where efficient security, management and monitoring are considered crucial factors for the unobstructed operation of the organization that hosts.


Sign in / Sign up

Export Citation Format

Share Document