Digitisation of existing buildings to support building assessment schemes: viability of automated sustainability-led design scan-to-BIM process

ABSTRACT Buildings’ functional and physical characteristics can be digitally represented through Building Information Modelling (BIM) which creates a sharing platform for all stakeholders involved in the project lifecycle. The application of BIM has been studied throughout the years mainly in new buildings with less emphasis in refurbishing existing ones due to the limited availability of accurate data of the original project. However, maintaining and refurbishing existing buildings often contributes to higher risk and cost. In addition, more buildings are required to undertake building assessment schemes such as Building Research Establishment Environmental Assessment Method (BREEAM), Leadership in Energy and Environmental Design (LEED), Green Star, Green Mark, and Green Building Index (GBI) – most were not designed to assess existing buildings. In this sense, laser scanning can be used to collect existing parametric building data as point clouds, which can be developed and used for modelling of energy consumption, comfort and costing. This can be then translated back into assessment schemes. The aim of this paper is to demonstrate the process flow in the usage of laser scanning for existing buildings to support sustainability-led design by a new scan-to-BIM process.

[1]  Diego González-Aguilera,et al.  Terrestrial laser scanning intensity data applied to damage detection for historical buildings , 2010 .

[2]  Georgios Georgis,et al.  Acceleration techniques and evaluation on multi-core CPU, GPU and FPGA for image processing and super-resolution , 2016, Journal of Real-Time Image Processing.

[3]  Helmi Zulhaidi Mohd Shafri,et al.  DEVELOPMENT AND UTILIZATION OF URBAN SPECTRAL LIBRARY FOR REMOTE SENSING OF URBAN ENVIRONMENT , 2011 .

[4]  Cevdet Coskun Aydin,et al.  Designing building façades for the urban rebuilt environment with integration of digital close-range photogrammetry and geographical information systems , 2014 .

[5]  Youngjib Ham,et al.  3D as-is building energy modeling and diagnostics: A review of the state-of-the-art , 2015, Adv. Eng. Informatics.

[6]  Peter E.D. Love,et al.  Digital reproduction of historical building ornamental components: From 3D scanning to 3D printing , 2017 .

[7]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Xiaoling Zhang,et al.  Carbon emission of global construction sector , 2018 .

[9]  Frédéric Bosché,et al.  Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction , 2010, Adv. Eng. Informatics.

[10]  John Henderson,et al.  Building Information Modelling , 2010 .

[11]  Zoltan Kato,et al.  Targetless Calibration of a Lidar - Perspective Camera Pair , 2013, 2013 IEEE International Conference on Computer Vision Workshops.

[12]  Shutao Li,et al.  Proposed Methodology for Generation of Building Information Model with Laserscanning , 2008 .

[13]  Nicola Fiore,et al.  Integration of Field and Laboratory Spectral Data with Multi-Resolution Remote Sensed Imagery for Asphalt Surface Differentiation , 2014, Remote. Sens..

[14]  Saulius Raslanas,et al.  Sustainability Assessment Studies of Recreational Buildings , 2013 .

[15]  W. L. Lee,et al.  A comprehensive review of metrics of building environmental assessment schemes , 2013 .

[16]  Naif Haddad,et al.  From ground surveying to 3D laser scanner: A review of techniques used for spatial documentation of historic sites , 2011 .

[17]  Roger M. Groves,et al.  Deterioration estimation of paintings by means of combined 3D and hyperspectral data analysis , 2013, Optical Metrology.

[18]  Enrique Valero,et al.  Detection, Modeling, and Classification of Moldings for Automated Reverse Engineering of Buildings from 3D Data , 2011 .

[19]  Albert P.C. Chan,et al.  Critical analysis of green building research trend in construction journals , 2016 .

[20]  Industrial Strategy Business population estimates for the UK and regions , 2011 .

[21]  M. Herold,et al.  Spectral characteristics of asphalt road aging and deterioration: implications for remote-sensing applications. , 2005, Applied optics.

[22]  Antonio Adán,et al.  Scan-to-BIM for 'secondary' building components , 2018, Adv. Eng. Informatics.

[23]  K ChoYong,et al.  3D as-is building energy modeling and diagnostics , 2015 .

[24]  K. Amano,et al.  Integration of point cloud data and hyperspectral imaging as a data gathering methodology for refurbishment projects using building information modelling (BIM) , 2019, Journal of Facilities Management.

[25]  Nuno M.M. Ramos,et al.  Building information modeling for energy retrofitting – A review , 2018, Renewable and Sustainable Energy Reviews.

[26]  Frank Schultmann,et al.  Building Information Modeling (BIM) for existing buildings — Literature review and future needs , 2014 .

[27]  Satoshi Kanai,et al.  As-built modeling of piping system from terrestrial laser-scanned point clouds using normal-based region growing , 2013, J. Comput. Des. Eng..

[28]  Carl T. Haas,et al.  State of research in automatic as-built modelling , 2015, Adv. Eng. Informatics.

[29]  Burcu Akinci,et al.  Automatic Reconstruction of As-Built Building Information Models from Laser-Scanned Point Clouds: A Review of Related Techniques | NIST , 2010 .

[30]  Tristan Randall,et al.  Construction Engineering Requirements for Integrating Laser Scanning Technology and Building Information Modeling , 2011 .

[31]  Francesco Pomponi,et al.  Embodied carbon mitigation and reduction in the built environment - What does the evidence say? , 2016, Journal of environmental management.

[32]  V. Bazjanac Space Boundary Requirements for Modeling of Building Geometry for Energy and Other Performance Simulation , 2010 .

[33]  Mani Golparvar-Fard,et al.  Geometry- and Appearance-Based Reasoning of Construction Progress Monitoring , 2018 .

[34]  Frédéric Bosché,et al.  The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components , 2015 .

[35]  Burcu Akinci,et al.  Automatic execution of workflows on laser-scanned data for extracting bridge surveying goals , 2012, Adv. Eng. Informatics.

[36]  Andrey Dimitrov,et al.  Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collections , 2014, Adv. Eng. Informatics.

[37]  Chao Wang,et al.  Performance Evaluation of Automatically Generated BIM from Laser Scanner Data for Sustainability Analyses , 2015 .

[38]  QadirJunaid,et al.  Big Data in the construction industry , 2016 .

[39]  Angela Lee,et al.  Greenhouse gases (GHG) performance of refurbishment projects – Lessons from UK higher education student accommodation case studies , 2017 .

[40]  Burcu Akinci,et al.  Automatic Creation of Semantically Rich 3D Building Models from Laser Scanner Data , 2011 .

[41]  Awais Ahmad,et al.  Special issue on real-time image and video processing in mobile embedded systems , 2018, Journal of Real-Time Image Processing.

[42]  Panel Intergubernamental sobre Cambio Climático Climate change 2007: Synthesis report , 2007 .

[43]  Pavan Meadati,et al.  Integrating Construction Process Documentation into Building Information Modeling , 2008 .

[44]  Massimiliano Manfren,et al.  Sustainability Assessment through Green BIM for Environmental, Social and Economic Efficiency , 2017 .

[45]  Kinjiro Amano,et al.  BIM for existing facilities: feasibility of spectral image integration to 3D point cloud data , 2016 .

[46]  Jibril Dan’azimi Jibril,et al.  Towards an integrative sustainability concept for retrofitting commercial office buildings in Malaysia , 2015 .

[47]  David Bryde,et al.  The project benefits of Building Information Modelling (BIM) , 2013 .

[48]  Lukumon O. Oyedele,et al.  Big Data in the construction industry: A review of present status, opportunities, and future trends , 2016, Adv. Eng. Informatics.

[49]  Christian Bauckhage,et al.  Metro Maps of Plant Disease Dynamics—Automated Mining of Differences Using Hyperspectral Images , 2015, PloS one.

[50]  Burcin Becerik-Gerber,et al.  Imaged-based verification of as-built documentation of operational buildings , 2012 .

[51]  L. Plümer,et al.  Detection of early plant stress responses in hyperspectral images , 2014 .

[52]  Qing Fan,et al.  Building information modelling (BIM) for sustainable building design , 2013 .

[53]  Arianna Pesci,et al.  A laser scanning-based method for fast estimation of seismic-induced building deformations , 2013 .

[54]  S. Schneider,et al.  Climate Change 2007 Synthesis report , 2008 .

[55]  Fernando I. Rial,et al.  FEM modeling of structures based on close range digital photogrammetry , 2009 .

[56]  Pingbo Tang,et al.  Rapid data quality oriented laser scan planning for dynamic construction environments , 2016, Adv. Eng. Informatics.

[57]  Andreas Georgopoulos,et al.  ASSESSING THE PERFORMANCE OF A STRUCTURED LIGHT SCANNER , 2010 .

[58]  Yusuf Arayici,et al.  Towards building information modelling for existing structures , 2008 .

[59]  Syahrul Nizam Kamaruzzaman,et al.  Development of a non-domestic building refurbishment scheme for Malaysia: A Delphi approach , 2019, Energy.

[60]  N. Yastikli Documentation of cultural heritage using digital photogrammetry and laser scanning , 2007 .

[61]  Changmin Kim,et al.  Automated construction progress measurement using a 4D building information model and 3D data , 2013 .

[62]  John P. Isaacs,et al.  Scan To BIM: The Development Of A Clear Workflow For The Incorporation Of Point Clouds Within A BIM Environment , 2015 .

[63]  Jaehoon Jung,et al.  Productive modeling for development of as-built BIM of existing indoor structures , 2014 .

[64]  Yusuf Arayici,et al.  An approach for real world data modelling with the 3D terrestrial laser scanner for built environment , 2007 .

[65]  Javier Roca-Pardiñas,et al.  Measurement planning for circular cross-section tunnels using terrestrial laser scanning , 2013 .

[66]  Christopher Gorse,et al.  Refurbishment and Upgrading of Buildings , 2000 .

[67]  Leonas Ustinovičius,et al.  Modernization with BIM technology through scanning building information , 2017 .

[68]  David Arditi,et al.  AUTOMATED PROGRESS CONTROL USING LASER SCANNING TECHNOLOGY , 2013 .

[69]  Danijel Rebolj,et al.  Point cloud quality requirements for Scan-vs-BIM based automated construction progress monitoring , 2017 .

[70]  Qian Wang,et al.  An Application Oriented Scan-to-BIM Framework , 2019, Remote. Sens..

[71]  N. Casagli,et al.  Integrating radar and laser-based remote sensing techniques for monitoring structural deformation of archaeological monuments , 2013 .

[72]  Issam Srour,et al.  Using BIM to Retrofit Existing Buildings , 2016 .

[73]  F. H. Abanda,et al.  An investigation of the impact of building orientation on energy consumption in a domestic building using emerging BIM (Building Information Modelling) , 2016 .

[74]  Syahrul Nizam Kamaruzzaman,et al.  Sustainability-led design: Feasibility of incorporating whole-life cycle energy assessment into BIM for refurbishment projects , 2019, Journal of Building Engineering.

[75]  Burcu Akinci,et al.  Quantification of edge loss of laser scanned data at spatial discontinuities , 2009 .

[76]  Gustavo Marrero Callicó,et al.  Efficient FPGA implementation of a high-quality super-resolution algorithm with real-time performance , 2011, IEEE Transactions on Consumer Electronics.