Noncontact quality assessment of precast concrete elements using 3D laser scanning and building information modeling

2015 ◽  
Author(s):  
Minkoo Kim
Keyword(s):  
Quality Assessment ◽  
Laser Scanning ◽  
Building Information Modeling ◽  
Precast Concrete ◽  
Information Modeling ◽  
3D Laser Scanning ◽  
Building Information ◽  
Concrete Elements

scholarly journals INTEGRATING TOPOGRAPHIC, PHOTOGRAMMETRIC AND LASER SCANNING TECHNIQUES FOR A SCAN-TO-BIM PROCESS

2021 ◽  
Vol XLIII-B2-2021 ◽  
pp. 883-890
Author(s):  
M. Lo Brutto ◽  
E. Iuculano ◽  
P. Lo Giudice
Keyword(s):  
Laser Scanning ◽  
Building Information Modeling ◽  
Laser Scanner ◽  
Point Clouds ◽  
Parametric Modeling ◽  
Information Modeling ◽  
Survey Method ◽  
The Real ◽  
Building Information ◽  
Heritage Building

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).

scholarly journals Hybrid processing of laser scanning data

2018 ◽  
Vol 33 ◽  
pp. 01047 ◽  
Author(s):  
Vladimir Badenko ◽  
Dmitry Zotov ◽  
Alexander Fedotov
Keyword(s):  
Laser Scanning ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Historical Buildings ◽  
Historical Building ◽  
Historic Building ◽  
Technology Application ◽  
Hybrid Technology ◽  
Building Information

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.

scholarly journals ADVANCED 3D MODELING VERSUS BUILDING INFORMATION MODELING: THE CASE STUDY OF PALAZZO ETTOREO IN SACILE (ITALY)

2019 ◽  
Vol XLII-2/W11 ◽  
pp. 1137-1143 ◽  
Author(s):  
D. Visintini ◽  
E. Marcon ◽  
G. Pantò ◽  
E. P. Canevese ◽  
T. De Gottardo ◽  
...  
Keyword(s):  
3D Modeling ◽  
Laser Scanning ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Morphological Evaluation ◽  
Laser Scanners ◽  
Building Information ◽  
Alternative Approaches ◽  
Definition Of

<p><strong>Abstract.</strong> This paper presents an experience of 3D modeling starting from laser scanning data and following two alternative approaches: the first one, called “Advanced 3D modeling”, based on an original meshing algorithm, while the second make use of Revit BIM software.</p><p>The case study in Palace Ettoreo in Sacile (Pordenone, Italy), constructed in Renaissance Venetian style in the 16th century: it has a trapezoid plan and is developed on three floors, with the ground one endowing a portico on two façades.</p><p>The palace has been surveyed by two terrestrial laser scanners: a Riegl Z420i for 5 external scans and a FARO Photon 120 for 53 internal scans; also a topographic surveying of 270 targets have been carried out. The final TLS cloud has 1,4 billions of points.</p><p>The Advanced 3D modeling has produced a “smart” mesh, allowing also to model the elements with deformations (out of plumb, bulges and troughs). Moreover, this model drastically reduce the stored data: the whole palace is modeled by 111.496 polygons only.</p><p>The modeling with Revit follows the classical flowchart where the principal architectonical elements are gradually composed: this HBIM process has required a strong manual work in exploiting the available parametric objects and/or in the definition of new objects.</p><p>Comparing the two models with respect the points cloud, both have evidenced advantages and limitations: therefore, the best solution is a process involving their combination. At the beginning, the Advanced 3D modeling is performed onto the points cloud, so well exploiting the segmentation tools and the smart meshing of the surfaces preserving any geometrical irregularity. Such obtained model allows metrical and morphological evaluation on the various structural and architectonical elements. Afterwards, this very light model becomes the entry data for the modeling in BIM environment, where also the shape of irregular elements are so imported.</p>

scholarly journals Research on importing production information into Manufacturing Execution System of Precast Concrete factory based on Building Information Modeling

2021 ◽  
Vol 276 ◽  
pp. 02009
Author(s):  
Zhenlei Guo ◽  
Feihua Yang ◽  
Jiayang Zhang ◽  
Weixuan Zhao
Keyword(s):  
Information Quality ◽  
Building Information Modeling ◽  
Precast Concrete ◽  
Information Modeling ◽  
Manufacturing Execution System ◽  
Building Information ◽  
Text Information ◽  
Enterprise Level ◽  
Building Project ◽  
Manufacturing Execution

Building Information Modeling in Precast Concrete factory should consider the split design and production as a whole, so we should pay attention to import the production information into MES and achieve enterprise level application. This paper studied two methods of importing production information to Manufacturing Execution System, namely DXF drawing and U file. This paper studied how to match information of DXF drawing with MES’s layer, text information and title bar. This paper also studied the correct format of U file and the information that can be resolved by MES. The feasibility of this two methods was verified through the prefabricated building project “Jin-an Hong Bao 7#”, and the types of prefabricated components, information quality, efficiency and cost of the two methods are compared. Dxf drawing is able to cover all kinds of precast components, easy for new comers to master, but the drawing efficiency is low. Currently, U file only supports composite floor slab, and it has a long training period, but it also has extremely low error rate and extremely high drawing efficiency.PC factory should continue to improve u file, which can greatly improve work efficiency and reduce engineering errors.

scholarly journals From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning

2021 ◽  
Vol 13 (3) ◽  
pp. 461
Author(s):  
Valeria Croce ◽  
Gabriella Caroti ◽  
Livio De Luca ◽  
Kévin Jacquot ◽  
Andrea Piemonte ◽  
...  
Keyword(s):  
Machine Learning ◽  
Laser Scanning ◽  
Building Information Modeling ◽  
Point Clouds ◽  
Information Modeling ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Building Information ◽  
Heritage Building ◽  
3D Representations

This work presents a semi-automatic approach to the 3D reconstruction of Heritage-Building Information Models from point clouds based on machine learning techniques. The use of digital information systems leveraging on three-dimensional (3D) representations in architectural heritage documentation and analysis is ever increasing. For the creation of such repositories, reality-based surveying techniques, such as photogrammetry and laser scanning, allow the fast collection of reliable digital replicas of the study objects in the form of point clouds. Besides, their output is raw and unstructured, and the transition to intelligible and semantic 3D representations is still a scarcely automated and time-consuming process requiring considerable human intervention. More refined methods for 3D data interpretation of heritage point clouds are therefore sought after. In tackling these issues, the proposed approach relies on (i) the application of machine learning techniques to semantically label 3D heritage data by identification of relevant geometric, radiometric and intensity features, and (ii) the use of the annotated data to streamline the construction of Heritage-Building Information Modeling (H-BIM) systems, where purely geometric information derived from surveying is associated with semantic descriptors on heritage documentation and management. The “Grand-Ducal Cloister” dataset, related to the emblematic case study of the Pisa Charterhouse, is discussed.

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