scholarly journals 3D SURVEYING, MODELING AND GEO-INFORMATION SYSTEM OF THE NEW CAMPUS OF ITB-INDONESIA

2016 ◽  
Vol XLII-2/W2 ◽  
pp. 97-105
Author(s):  
D. Suwardhi ◽  
S. W. Trisyanti ◽  
N. Ainiyah ◽  
M. N. Fajri ◽  
H. Hanan ◽  
...  
Keyword(s):  
Information System ◽  
3D Modeling ◽  
3D Model ◽  
Academic Staff ◽  
Point Clouds ◽  
Facility Management ◽  
Information Modeling ◽  
Building Information ◽  
Campus Activities ◽  
The University

The new campus of ITB-Indonesia, which is located at Jatinangor, requires good facilities and infrastructures to supporting all of campus activities. Those can not be separated from procurement and maintenance activities. Technology for procurement and maintenance of facilities and infrastructures –based computer (information system)– has been known as Building Information Modeling (BIM). Nowadays, that technology is more affordable with some of free software that easy to use and tailored to user needs. BIM has some disadvantages and it requires other technologies to complete it, namely Geographic Information System (GIS). BIM and GIS require surveying data to visualized landscape and buildings on Jatinangor ITB campus. This paper presents the on-going of an internal service program conducted by the researcher, academic staff and students for the university. The program including 3D surveying to support the data requirements for 3D modeling of buildings in CityGML and Industry Foundation Classes (IFC) data model. The entire 3D surveying will produce point clouds that can be used to make 3D model. The 3D modeling is divided into low and high levels of detail modeling. The low levels model is stored in 3D CityGML database, and the high levels model including interiors is stored in BIM Server. 3D model can be used to visualized the building and site of Jatinangor ITB campus. For facility management of campus, an geo-information system is developed that can be used for planning, constructing, and maintaining Jatinangor ITB’s facilities and infrastructures. The system uses openMAINT, an open source solution for the Property & Facility Management.

scholarly journals Sensor Data Visualization for Indoor Point Clouds

2019 ◽  
Vol 2 ◽  
pp. 1-8
Author(s):  
Vladeta Stojanovic ◽  
Matthias Trapp ◽  
Benjamin Hagedorn ◽  
Jan Klimke ◽  
Rico Richter ◽  
...  
Keyword(s):  
General System ◽  
Point Clouds ◽  
Facility Management ◽  
Information Modeling ◽  
Sensor Data ◽  
Cloud Data ◽  
Digital Representations ◽  
Automation Systems ◽  
Building Information ◽  
Occupant Comfort

Abstract. Integration and analysis of real-time and historic sensor data provides important insights into the operational status of buildings. There is a need for the integration of sensor data and digital representations of the built environment for furthering stakeholder engagement within the realms of Real Estate 4.0 and Facility Management (FM), especially in a spatial representation context. In this paper, we propose a general system architecture that integrates point cloud data and sensor data for visualization and analysis. We further present a prototypical web-based implementation of that architecture and demonstrate its application for the integration and visualization of sensor data from a typical office building, with the aim to communicate and analyze occupant comfort. The empirical results obtained from our prototypical implementation demonstrate the feasibility of our approach for the provisioning of light-weight software components for the service-oriented integration of Building Information Modeling (BIM), Building Automation Systems (BASs), Integrated Workplace Management Systems (IWMSs), and future Digital Twin (DT) platforms.

scholarly journals A Case Study for 3D Modeling Process Analysis based on BIM Log File

2019 ◽  
pp. 309-313
Author(s):  
Nan Zhang ◽  
Yichen Tian ◽  
Mohamed Al-Hussein
Keyword(s):  
3D Modeling ◽  
3D Model ◽  
Process Analysis ◽  
Information Modeling ◽  
Log Files ◽  
Modeling Process ◽  
Building Information ◽  
Design Activities ◽  
Log File ◽  
Construction Efficiency

Building Information Modeling (BIM) design becomes popular with the growing needs of enhancing construction efficiency. During the design process, 3D Modeling is the foundation of generating and analyzing building information. The modeling tool, Autodesk Revit, automatically creates log files, which can record all design activities. This paper investigates and analyzes the operation data from unstructured temporal Revit log files. These data were recorded when executing the general and external command to build a 3D model of a typical residential two-story building. The objectives of this analysis were to figure out the influence elements of producing a good framing model and to give some suggestions for improving modeling efficiency. In order to extract the useful specific commands, the information in the text journal file was transferred to an excel file, before reading by a data mining tool, RapidMiner. It generated a pie chart to show the repetition amount of modeling activities. Analyzing the reasons of repeating some commands frequently, this paper contributes the possibility to reduce the useless repetition for building a good 3D model.

scholarly journals Automated Reconstruction of Parametric BIM for Bridge Based on Terrestrial Laser Scanning Data

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Guocheng Qin ◽  
Yin Zhou ◽  
Kaixin Hu ◽  
Daguang Han ◽  
Chunli Ying
Keyword(s):  
Point Cloud ◽  
Laser Scanning ◽  
Point Clouds ◽  
Facility Management ◽  
Information Modeling ◽  
Geometric Features ◽  
Unit Structure ◽  
Point Cloud Segmentation ◽  
Reconstruction Quality ◽  
Building Information

Building information modeling (BIM) in industrialized bridge construction is usually performed based on initial design information. Differences exist between the model of the structure and its actual geometric dimensions and features due to the manufacturing, transportation, hoisting, assembly, and load bearing of the structure. These variations affect the construction project handover and facility management. The solutions available at present entail the use of point clouds to reconstruct BIM. However, these solutions still encounter problems, such as the inability to obtain the actual geometric features of a bridge quickly and accurately. Moreover, the created BIM is nonparametric and cannot be dynamically adjusted. This paper proposes a fully automatic method of reconstructing parameterized BIM by using point clouds to address the abovementioned problems. An algorithm for bridge point cloud segmentation is developed; the algorithm can separate the bridge point cloud from the entire scanning scene and segment the unit structure point cloud. Another algorithm for extracting the geometric features of the bridge point cloud is also proposed; this algorithm is effective for partially missing point clouds. The feasibility of the proposed method is evaluated and verified using theoretical and actual bridge point clouds, respectively. The reconstruction quality of BIM is also evaluated visually and quantitatively, and the results show that the reconstructed BIM is accurate and reliable.

scholarly journals POLYFIT ASSISTED MONOSCOPIC MULTI-IMAGE MEASUREMENT SYSTEMS

2019 ◽  
Vol XLII-2/W17 ◽  
pp. 347-354
Author(s):  
D. Suwardhi ◽  
S. W. Trisyanti ◽  
L. Kamal ◽  
H. A. Permana ◽  
A. Murtiyoso ◽  
...  
Keyword(s):  
3D Modeling ◽  
3D Model ◽  
Point Clouds ◽  
Information Modeling ◽  
Geographical Information ◽  
Image Measurement ◽  
Geometry Model ◽  
Modeling Approach ◽  
Dense Matching ◽  
Polygonal Surface

Abstract. Nowadays, in light of the latest development in three-dimensional (3D) modeling technology, an essential role is given to the research and development of fully-automated or semi-automated processes in order to increase workflow effectiveness. A key challenge is thus to automate the process leading to the geometric model which supports the Building Information Modeling (BIM) or 3D-Geographical Information Systems (3D-GIS). This 3D model usually originates from image-based or range-based point clouds. This research is the beginning of the development of a 3D modeling approach that is semi-automatic, and possibly fully-automatic, by combining polygon surface fitting (polyfit) technique and monoscopic multi-image measurement system. With the advent of dense matching and Structure from Motion methods (SfM), point clouds can be generated from multiple images obtained from digital cameras. Then, to reduce the data and to allow for efficient processing, it is necessary to extract polygonal surface data from point clouds delivered by the dense matching process. The polygonal surface is then used for the basis of further manual monoscopic measurements which are achieved separately on each image to obtain more detailed 3D model. Next, this approach analyzed the polygonal surface deformations in comparison to the initial point cloud data. It can be seen how the resolution and noise of the original point clouds affect the subsequent Polyfit-based modeling and monoscopic measurements. The deformations and the accuracy evaluation have been undertaken using different open source software. Also, the geometric error in the polyfit-derived polyhedral reconstruction propagating to the subsequent monoscopic-derived measurements was evaluated. Finally, our modeling approach shows that it can improve the processing speed and level of detail of the 3D models achieved using existing monoscopic measurements. Typically geometric accuracy itself doesn’t have enough information to make accurate geometry model.

scholarly journals BIM-Based Digital Twin and XR Devices to Improve Maintenance Procedures in Smart Buildings: A Literature Review

2021 ◽  
Vol 11 (15) ◽  
pp. 6810
Author(s):  
Corentin Coupry ◽  
Sylvain Noblecourt ◽  
Paul Richard ◽  
David Baudry ◽  
David Bigaud
Keyword(s):  
Academic Research ◽  
Facility Management ◽  
Information Modeling ◽  
Application Framework ◽  
Remote Collaboration ◽  
Smart Buildings ◽  
Digital Twin ◽  
Industrial Sectors ◽  
M Phase ◽  
Building Information

In recent years, the use of digital twins (DT) to improve maintenance procedures has increased in various industrial sectors (e.g., manufacturing, energy industry, aerospace) but is more limited in the construction industry. However, the operation and maintenance (O&M) phase of a building’s life cycle is the most expensive. Smart buildings already use BIM (Building Information Modeling) for facility management, but they lack the predictive capabilities of DT. On the other hand, the use of extended reality (XR) technologies to improve maintenance operations has been a major topic of academic research in recent years, both through data display and remote collaboration. In this context, this paper focuses on reviewing projects using a combination of these technologies to improve maintenance operations in smart buildings. This review uses a combination of at least three of the terms “Digital Twin”, “Maintenance”, “BIM” and “Extended Reality”. Results show how a BIM can be used to create a DT and how this DT use combined with XR technologies can improve maintenance operations in a smart building. This paper also highlights the challenges for the correct implementation of a BIM-based DT combined with XR devices. An example of use is also proposed using a diagram of the possible interactions between the user, the DT and the application framework during maintenance operations.

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 3D Modelling, Design and Safety Management in High Rise Building u sing Bim

2021 ◽  
Vol 11 (1) ◽  
pp. 41-50
Author(s):  
Mohammed Waheed ◽  
◽  
Mahmad Naheed ◽  
Parvez Patel ◽  
Syed Mubashir Hussain ◽  
...  
Keyword(s):  
Design Process ◽  
3D Modeling ◽  
Structural Design ◽  
Safety Management ◽  
Information Modeling ◽  
Analysis And Design ◽  
High Rise ◽  
High Rise Building ◽  
Traditional Design ◽  
Building Information

In this works 3D modeling, design and safety management of high rise building using building information modeling (BIM) technology is carried out.. Initially a AutoCAD plan with all its salient features is developed following byelaws of high rise building. Then the 3D modeling and rendering of high rise building is done in the Revit architecture of the 2D plan which is imported from the AutoCAD. The analysis and design of high rise building is carried out using ETabs software. Apart from the structural design Mechanical, Electrical and Plumbing (MEP) services design is carried out using BIM technology . The layout of fire safety system is specified efficiently with use of BIM in co-ordination with MEP services. The application of BIM based design process resulted in considerable time reduction in compression with traditional design process and the holistic design of the high rise building is carried out with the compatibility of different softwares.

scholarly journals HIGH RESOLUTION 3D ACQUISITION AND MODELLING IN CULTURAL HERITAGE KNOWLEDGE AND RESTORATION PROJECTS: THE SURVEY OF THE FOUNTAIN OF NEPTUNE IN BOLOGNA

2019 ◽  
Vol XLII-2/W11 ◽  
pp. 573-578 ◽  
Author(s):  
V. A. Girelli ◽  
M. A. Tini ◽  
M. Dellapasqua ◽  
G. Bitelli
Keyword(s):  
Information System ◽  
Laser Scanning ◽  
3D Model ◽  
Ad Hoc ◽  
Complex Object ◽  
Visual Computing ◽  
Precision Level ◽  
3D Acquisition ◽  
The University ◽  
User Friendly

<p><strong>Abstract.</strong> In 2016, the Municipality of Bologna (Italy) has undertaken the restoration of one of the symbols of the entire city, the Fountain of Neptune, in evident state of degradation. The works have touched upon all the aspects of this complex object and the project has seen involved the Municipality and the University of Bologna, the Istituto Superiore per la Conservazione e il Restauro (ISCR) (Rome) and the Visual Computing Lab of the CNR – ISTI (Pisa), in a modern and highly multi-disciplinary approach.</p><p>One of the key elements of the project was made up by the creation of an information system ad hoc developed to permit, in an innovative, efficient and user-friendly way, the collection, sharing, management and analysis of all the information and data related to diagnostics and restoration actions. The base of the information system is a very detailed 3D model of the monument, realized by means of the most modern techniques for objects 3D modelling (laser scanning, digital photogrammetry and 3D scanning) integrated together with the aim to obtain a photo-textured 3D model characterized by a sub-millimetre precision level in the geometric description and a high perceptive fidelity of colour reproduction.</p><p>The surveying activities and data processing, performed by the DICAM Geomatics group of the University of Bologna (with the collaboration of the MCM Company of Rome), are described in the paper, with considerations on the problems encountered and the procedures and solutions adopted. The information system has been developed by CNR-ISTI.</p>

A Reality Integrated BIM for Architectural Heritage Conservation

2019 ◽  
pp. 142-176
Author(s):  
Fabrizio Ivan Apollonio ◽  
Marco Gaiani ◽  
Zheng Sun
Keyword(s):  
Laser Scanning ◽  
Low Cost ◽  
Point Clouds ◽  
Information Modeling ◽  
Free Form ◽  
Architectural Heritage ◽  
Ideal Model ◽  
Double Curvature ◽  
Building Information ◽  
Architectural Treatises

Building Information Modeling (BIM) has attracted wide interest in the field of documentation and conservation of Architectural Heritage (AH). Existing approaches focus on converting laser scanned point clouds to BIM objects, but laser scanning is usually limited to planar elements which are not the typical state of AH where free-form and double-curvature surfaces are common. We propose a method that combines low-cost automatic photogrammetric data acquisition techniques with parametric BIM objects founded on Architectural Treatises and a syntax allowing the transition from the archetype to the type. Point clouds with metric accuracy comparable to that from laser scanning allows accurate as-built model semantically integrated with the ideal model from parametric library. The deviation between as-built model and ideal model is evaluated to determine if feature extraction from point clouds is essential to improve the accuracy of as-built BIM.

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