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3.
QUALITY MONITORING OF LARGE STEEL BUILDINGS USING TERRESTRIAL
LIDAR TECHNIQUE
Yanmin Wang ^ Guoli Wang an
a. School of Geometrics and Urban Information, Beijing University of Civil engineering and
Architecture, 1 Zhanlanguan Road, Xicheng District, Beijing, 100044, P.R. China
b. State Key lab for Information Engineering in Surveying Mapping and Remote Sensing Wuhan University Luoyu
Road, Wuhan, 430079, P.R. China
Commission III, WCIII/2
Key word: Terrestrial LIDAR, Point cloud, Extraction of feature points, Construction Quality Monitoring.
Abstract: Terrestrial LIDAR Technology is used for quality monitoring in construction of large-scale steel buildings to solve the
problem of quick and precise inspecting for large steel structure. Point Cloud is acquired fast and of high accuracy with tie-control
points that set in different blocks. Feature points are extracted from scan data and compared with its reference points designed to
analyze its variation of position and size, which has active guidance meaning for engineering construction. Finally three applications
are given to prove the effectiveness of the method proposed.
1. INTRUDUCTION
Modern Large-scale steel building becomes more and
more popular with the development of construction and
surveying technique. For examples, 2008 Beijing
Olympic Main Stadium (Bird’s Nest), National
Gymnasium and Tianjin West Station Steel-Shell Station
Building etc. all of these Large steel building have their
unique appearances; The steel-structure are complex and
heavy; It is generally assembled on ground and installed
with big crane; Thus accurate surveying and checking is
necessary to make the steel structure weld and installed
successfully.
Total station is used in traditional quality monitoring to
observe the components of steel ports and the quality of
welding is compared with observed point feature which
includes observing errors (Xiangrui Guo, 2002). The
fieldwork is hard and surveying features is partially
hidden. Besides, some feature points designed don’t exist
actually so it’s impossible to get the data of points. Thus
the data acquired is limited for the complex and
featureless areas.
Terrestrial LIDAR could acquire precise 3D coordinates
of objects within hundreds of meters all around quickly
and accurately, which meet the demands for surveying of
featureless areas. Integrated analysis of target could be
made conveniently with the extracted features; the
measured distance and accuracy also satisfy the
requirement for construct survey and quality monitoring.
There has been some research and application in LIDAR
technique in China (Haiying Fan, 2004; Dean Luo, 2005;
Yanmin Wang, 2009).0.Monserrat (2008) use least
squares 3D surface matching method to estimate
deformation parameters using local surface matching,
Van Gosliga et al. (2006) use a cylinder parameterization
to model a tunnel, while Alba et al. (2006) follow this
approach for the structural monitoring of a large dam by
fitting a 3D polynomial surface to the surveyed TLS point
cloud. Eleftherios TOURNAS (2008) use the control
points on images captured synchronized to measure the
structural deformation. Girardeau-Montaut (2005) use
octree structured Terrestrial LIDAR data to make a direct
cloud to cloud comparison, which can be useful for fast
and quick integrated analysis.
2. FAST AND PRECISE TERRESTRIAL LIDAR
ACQUIRING TECHNIQUE
Terrestrial laser scanner measures spatial object with dense laser
beam in accordance with array, acquires the spatial points by
laser ranging and stepping motors accurate measurement of the
angle, forms a point cloud model which is composed of discrete
points of dense space. The whole technological process includes
three key technologies: connection of control network, fast data
acquiring and extraction of feature points.
2.1 Connection of scan sites and control network
Multi-view scans are needed to cover an object. Control survey
is intended to put a general amount of architectural construction
with high registration accuracy into the datum coordination of
survey or design to facilitate the comparative analysis of the
data.
Control points are selected according to the actual site
conditions, more alternate points are selected in case of the
Corresponding author. Fax: +0086 010-68322511 Email: wgli 1(2163.com