12th International Conference on Structural Analysis of Historical Constructions
SAHC 2020
P. Roca, L. Pelà and C. Molins (Eds.)
TOWARDS A DIGITAL ARCHITECTURAL HERITAGE
KNOWLEDGE MANAGEMENT PLATFORM: PRODUCING THE
HBIM MODEL OF BAIT AL NABOODAH IN SHARJAH, UAE
R. SABRI1*, S. B. ABDALLA1 AND M. RASHID1
Architectural Engineering Department
University of Sharjah
University City, Sharjah, United Arab Emirates (UAE)
e-mail: rsabri@sharjah.ac.ae (*corresponding author),
sabdalla@sharjah.ac.ae, mrashid@sharjah.ac.ae http://www.sharjah.ac.ae
Keywords: Heritage documentation, HBIM, terrestrial laser scanning, scan-to-BIM, point
cloud data, Bait Al Naboodah Museum
Abstract. This paper explores the methodology for the production and integration of Heritage
Building Information Modeling (HBIM) into the museum management system of the Emirate of
Sharjah, United Arab Emirates (UAE). The historic Bait Al Naboodah Museum is documented
as a pilot study using terrestrial laser scanning (TLS) technology. The scanning and modelling
processes are explained in a seven-stage workflow: preliminary data acquisition, site surveying
and terrestrial laser scanning, processing of the captured cloud point data, post-processing
and modelling, quality control, final delivery of the digital model, and its validation. The
architectural elements and details of Bait Al Naboodah have been reconstructed in a multilayered 3D digital model, and its accuracy has been tested. This HBIM model has been
conceived as the basis of a shared inter-institutional platform for the Museum's management.
1
INTRODUCTION
Finding innovative tools for the documentation and conservation of increasingly broad
heritage portfolios has dominated heritage conservation research agendas since the beginning
of the 21st century. Recently research has focused on various aspects of the configuration and
utilisation of digital applications in heritage management [1]. Heritage Building Information
modelling (HBIM) has emerged as a significant architectural heritage recording and
conservation management tool [2, 3, 4, 5]. Studies from different geographic contexts have
revealed important insights regarding the documentation, integration and management of
heterogeneous data in digital models [6, 7]. However, this has remained an under-researched
heritage topic in the UAE.
The built heritage of the United Arab Emirates consists of examples of traditional
architecture of residential, defence, commercial and educational functions, roughly dating from
R. Sabri, S. B. Abdalla and M. Rashid
the early 19th to mid-20th century. The heritage authorities of the Emirate of Sharjah have
restored many heritage structures since the 1990s. Many of them are adaptively reused. Several
such structures have been re-purposed as museum spaces under the management of the Sharjah
Museums Authority (SMA). The conservation management of these structures is the
responsibility of the Sharjah Archaeology Authority (SAA). Interviews with relevant officials
have revealed that managing museums in heritage structures is challenging as there are multiple
tasks and responsibilities. Institutions carry out planning related to conservation management,
facilities management, and exhibition management. As these institutions follow a traditional
management style, each one has unique documentation and planning methodologies.
While de-centralisation in heritage management has many advantages, overlapping interinstitutional planning for different activities is unavoidable. Clashes in exhibition planning,
maintenance works for building services, and conservation works, which disrupts scheduled
activities, are examples. Other practical issues include duplication of data by each stakeholder
for their institutional requirements. Consequently, resources are wasted to reproduce new
architectural drawings or locate existing ones in dispersed archives. It should also be noted that
standard sets of architectural drawings of heritage structures are either manually or digitally
drawn based on manual measurements; they typically include little detail. Therefore, when
architectural data for a part of the building, which is not visible on a standard set of architectural
drawings, is required, the technicians need to go back to the building to take new measurements.
This happens, for instance, when an exhibitor needs accurate scaled drawings of an exhibition
space to plan an exhibition. This research explores the methodology and technical issues for
developing a digital model as an effective management platform, where heritage data will be
conceptualised and categorised in a semantically enriched system. The research uses Bait al
Naboodah Museum in Sharjah as the pilot study. It investigates the methodology of producing
an HBIM to be used as a shared management platform by the stakeholder institutions relating
to museums in heritage structures.
2 A BRIEF HISTORY OF BAIT AL NABOODAH
Bait Al Naboodah is the oldest and largest surviving traditional courtyard house in Sharjah.
This house was originally constructed in c.1845 by Obaid bin Eissa Bin Ali Al Shamsi (aka Al
Naboodah), a prominent pearl merchant with international commercial ties [8]. Alazawi notes
that there are at least two main construction phases for this partially two-storied courtyard-plan
type house: the main entrance and rooms on the East façade as well as the stairs on the North
and South which were built in the first stage [9]. This was followed by adding rooms on the other
sides of the courtyard and the second floor in several phases of the second stage as the Al
Naboodah family grew.
Bait Al Naboodah was subjected to an extensive restoration project from 1990-1995, and it
was opened as an ethnographic museum in 1995. Soon after that, the building required extensive
conservation work due to continuing material deterioration problems caused by a high water
table and termite damage. The building was waterproofed and termite proofed during the
conservation works. The work was finalised in 2016, and the museum subsequently reopened
(Figure 1). The building was also retrofitted with fire detectors, CCTV, air conditioning, and
ramps. Currently, while the SMA manages the museum, the SAA is responsible for its
conservation management. The aim of this research is to create an HBIM to be populated with
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architectural heritage data and shared by the stakeholder institutions to inform the management
of the museum, conservation, and building facilities.
Figure 1: Views from Bait Al Naboodah.
3
DATA ACQUISITION, PROCESSING, AND MODELING
This research utilises terrestrial laser scanning (TLS), also known as terrestrial light
detection and ranging (LiDAR), for the architectural documentation of Bait Al Naboodah. TLS
measures distance remotely by emitting laser pulses at target points. It is ‘regarded as mass data
collection technique capable of rapidly collecting millions of points,’ making it suitable for
generating accurate data [10, 11, 12]. The data collection and processing methodology and
workflow is described in the following.
3.1 HBIM methodology and workflow
The process started with acquiring permission from SMA to laser scan Bait Al Naboodah. It
continued with site visits in coordination with the SMA officials regarding the scanning process,
surveying the heritage structure, and planning for scanning and model making resources. TLS
has been planned following SMA’s health and safety policy. The workflow is presented in
Table 1.
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Table 1: Data gathering, processing, modelling, and validation stages.
Stage
1. Site visit and
preliminary data
acquisition
2. TLS
3. Processing the
captured point cloud
data
4. Post-processing
and modelling
5. Quality Control
(QC)
6. Final delivery
7. Validation
Process
Pre-study site visits for planning the scanning requirements and
coordinating with SMA authorities regarding permission
processes.
Spatial data gathering through TLS.
Capturing high-quality three-dimensional image of the
surroundings in the form of Red Green Blue (RGB) coloured point
cloud data.
Transferring the point cloud data to a computer environment and
initiating the point clouds’ cleaning process.
Modifications and preparing the point cloud data for further
processing.
Transferring point cloud data into Autodesk Revit.
Mapping HBIM objects onto point-cloud.
Converting the point cloud data into mesh objects.
Using Cyclone plugin for Revit to alignment and fitting the image
data on the scan data in Revit.
Creating customised objects as families in Revit.
Investigating and verifying factors affecting the quality of point
cloud data.
Validating and checking HBIM submittals
Production of an accurate and precise HBIM model, ready to
generating:
• 2D & 3D plans and coloured-plans.
• Elevations.
• Sections (2D & 3D).
• Animation, rendering and virtual tours.
• Maintenance schedules (doors, windows, rooms,
columns, etc.).
• Bill of quantity/cost estimates.
Site visit for validating the model through:
• Visual inspection of functions and spaces.
• Random validation of measurements and dimensions.
3.2 Terrestrial laser scanning
We used a single 3D scanner for the TLS, and this means the tripod scanner had to be moved
to several locations to capture the larger site from various angles (Figure 2). Therefore, the
entire project has been captured using a single tripod-mounted scanner, namely the FARO 3D
model X130, which has a scanning range of 130 m. Although using a single scanner slowed
down the scanning process, we finalised the scanning in two working days (27-28 October
2019). The chosen 3D laser scanner captures up to one million measurement points per second
and generates a precise, high-quality three-dimensional image of its surroundings using an
integrated camera. The point cloud data captured by the 3D scanner is a collection of points
converted from a range of angular measurements into a common Cartesian (XYZ) coordinate
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system and precisely defines the surfaces of the scanned object [13, 14]. The scanner’s integrated
camera captures high-quality three-dimensional images of its surroundings. However, it
produces only one three-dimensional image for each scan, despite each scan containing millions
of cloud points. This single image (Figure 2) gives the object the RGB colour, resulting in
colourised point clouds.
3.3 Transferring point cloud data and post-processing
The captured point cloud data is a collection of 3D coordinate systems representing the
building's exterior surface, including its geometry and colour. After the scanning process, this
data has been transferred to a computer environment. However, the captured 3D point clouds
are considered raw data at this stage. During the processing stage, the colour of the object
surfaces has been added by overlaying imagery from the scanner's integrated camera via
Cyclone plugin for Revit (Figure 2).
Usually, further modifications are necessary to prepare for the finished HBIM model. For
instance, the point clouds have to be cleaned if there are scan vibrations or dust particles on the
lens that may scatter the point cloud data. However, in our case, there were no major issues,
except that the surrounding buildings required some cleaning. For our project, the 3D scanner
was equipped with an integrated camera to capture high-quality images to aid in point cloud
interpretation and provide colourised point clouds (Figure 2).
Figure 2: Colorized Point clouds by RGB color.
3.4 Modeling and mapping HBIM objects onto the point-cloud
The modeling/ mapping processes continued with converting the point cloud data into mesh
objects. We built the 3D model of Bait Al Naboodah in Autodesk Revit with the assistance of
‘Cyclone plugin for Revit’. This aided in depicting the existing heritage geometry of the
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architecture of the heritage structure and producing 3D datasets of the heritage asset in a 3D
BIM. However, we had to do some organisations on the point cloud data prior to this stage for
the necessary smoothing and proper integrations within the HBIM.
During the 3D modelling process, some objects such as walls, columns, or beams and some
doors and windows could be imported directly from Revit libraries. Some others were edited to
capture the actual geometric conditions of Bait Al Naboodah. However, due to the complex,
non-parametric geometries typically associated with heritage buildings, the digitalisation
process involved modelling and customising several objects developed explicitly for this
project. Electrical fixture such as lights and lanterns, windows and windows quads, furniture
and decorative elements, as well as profiles from roof and facade details, stairs, handrails, and
columns, are among the custom created elements for this project (Figure 3). Similarly, some
material surfaces had to be created for the project as they were not in the standard Revit libraries
(Figure 4).
The customised objects are generated in the same way that existing Revit library objects, i.e.
as families. As a result, an object in Revit is associated with a specific family that yields subelements, known as classes. For example, all windows have been categorised under one family
that branches to various windows (i.e. double light windows, single windows, and top
windows). The same has been applied to doors, walls, floors, and decorative elements/details.
Figure 3: Examples from customised architectural elements created specifically for Bait Al Naboodah HBIM
model.
Figure 4: Examples from customised material and mats created specifically for Bait Al Naboodah HBIM model.
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3.5 Quality Control (QC)
We investigated and verified the factors that affect the quality of TLS point cloud data at
this stage. We verified the HBIM's credibility by point cloud validation, geometry, clash
detection, and model coordination. In addition, we reviewed the HBIM model to ensure
compliance, accuracy, and a high-quality deliverable to validate the collected data. Revit 2020
allowed for visualisation, walkthroughs, sectioning the model, and the development of plans
and schedules. Additionally, Navisworks Manage 2020 was helpful in further reviewing the
HBIM's integrity and precise visualisation and review. The QC also included a review of the
point cloud data generated by the FARO SCENE LT 2019.2 software. During the QC process,
we detected the absent elements and inconsistencies such as a lack of finish material on some
façades, missing wood from the ceiling, and missing fixtures and furniture.
3.6 Final HBIM delivery and validation
After correcting the missing parts and modifying the inconsistencies, the final 3D model
contained all of the building's architectural components, electrical fixtures, and mechanical
components (AC units and toilet fixtures). At this stage, a complete set of floor plans (2D &
3D, elevation, sections (2D & 3D), as well as doors, windows, rooms and columns schedules
were generated from the model (Figures 5-7).
We continued verifying its accuracy and precision by taking in-situ measurements and
comparing them with the scaled drawings generated from the HBIM model. The validation
process was based on taking random measurements at various locations at the building and
testing horizontal and vertical measurements against the digitally created HBIM model. The
measurements showed accuracy up to +/- 1 mm, indicating that the produced HBIM model is
very consistent and accurate up to 99%.
Figure 5: An elevation generated from Bait Al Naboodah HBIM.
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Figure 6: 3D images of the building, generated from Bait Al Naboodah HBIM.
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Figure 7: Interior of a temporary exhibition space, generated from Bait Al Naboodah HBIM.
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CONCLUSION
3D laser scanning and digital architectural heritage knowledge modelling are relatively
expensive compared to traditional manual documentation systems. Not only laser scanners are
costly, but the scanning and transferring of captured point could data to a computer
environment, and its conversion into architectural drawings requires specialised knowledge and
expertise. This technology is not widely tested on the heritage structures in the UAE. Our
investigation has revealed that the output is invaluable in generating accurately scaled plans,
sections, and architectural details for any space and in any numbers. The HBIM, produced for
Bait Al Naboodah, using the scan-to-BIM methodology, has proven to be an accurate and
efficient architectural documentation method. Scan-to-BIM technology and expertise are
available in the UAE’s booming construction sector, and this can be efficiently utilised in the
heritage sector. The next step of this project is the population of the HBIM model with data to
convert it into an inter-institutional digital platform to be used for the management of museum,
conservation and building facilities.
Acknowledgements. This research has been financially supported by the University of
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Sharjah Research Grant Ref. V.C.R.G. / R. 438/2019. The authors would like to thank the
Sharjah Museums Authority and Bait Al Naboodah Museum officials for their support during
the laser scanning.
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