Adaptive 3D Imaging and Change Analysis of Civil Infrastructures Pingbo Tang 1, Chengyi Zhang 2,...
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Adaptive 3D Imaging and Change Analysis of Civil Infrastructures Pingbo Tang 1, Chengyi Zhang 2, Jose Diosdado 3, Ram Ganapathy 3 1 Arizona State University
Adaptive 3D Imaging and Change Analysis of Civil
Infrastructures Pingbo Tang 1, Chengyi Zhang 2, Jose Diosdado 3,
Ram Ganapathy 3 1 Arizona State University 2 Eastern Kentucky
University 3 DPR Construction North America-East Asia Workshop on
Big Data Analytics for Infrastructure and Building Sustainability
and Resilience (IBSR) Research Beijing, China, P.R., September
19-21, 2014
Slide 2
Before I start talking about data science and technologies Big
Data Analytics for Infrastructure and Building Sustainability and
Resilience (IBSR) Research http://entertainment.blurtit.c
om/11707/what-was-the-first- non-silent-movie-about
http://phandroid.com/2013/11/25/android-
camera-api-burst-mode-raw-support-coming- soon/ 2
Slide 3
What is the problem? Big Data Analytics for Infrastructure and
Building Sustainability and Resilience (IBSR) Research Understand
the tolerances of prefabricated components, geometric changes of
structures How these changes happen? How they influence each other?
Which changes are dangerous? 3 Forty percent of U.S. bridges were
built over 40 years ago, with a design life of 50 years. Over 500
failures of bridge structures occurred in the U.S. between 1989 and
2000. More than 30 bridge collapses in China from 2007 to 2010 that
killed 140 people in total, and injured 126 How to monitor them?
How to repair them? How to reduce the socioeconomical impacts?
Change management and quality control of multi-trade collaboration
in construction
Slide 4
A Data Collection Technology for Tolerance and Change Analysis
Surveying based physical measurements Tape, rod, total station
Measure actual facilities Laser scanning Capturing thousands of
points per second Densely sampling of scanned object (1cm within 50
m) Measure 3D as-built models of facilities (Rudolf Staiger, 2003)
Big Data Analytics for Infrastructure and Building Sustainability
and Resilience (IBSR) Research 4
Slide 5
Other Applications of Laser Scanning Technology in Civil
Engineering Progress monitoring Quality control Construction
workspace modeling Big Data Analytics for Infrastructure and
Building Sustainability and Resilience (IBSR) Research (Rudolf
Staiger, 2003) (Turkan, Bosche, & Haas, 2010) (Gordon &
Akinci, 2005) (Cho et al., 2013) 5
Slide 6
Challenges of Using Laser Scanning in Tolerance and Change
Analysis How to collect sufficient 3D data for assessing tolerances
and analyzing changes? What is sufficient? Domain requirements
Geometric complexity Arrangements of building components How to
ensure timely data collection, data processing, and deliveries of
required information? Planning the collection and processing
workflows of 3D data Tens of steps of data processing Hundreds of
data processing parameters that need engineers to decide based on
their experiences The data processing time and quality can vary
significantly person by person Exponentially large search space of
data collection and processing plans Big Data Analytics for
Infrastructure and Building Sustainability and Resilience (IBSR)
Research 6
Slide 7
What is Sufficient Data? Depending on what you need Depending
on the geometric complexity of objects Depending on how the
components connect to each other and how the errors accumulate Big
Data Analytics for Infrastructure and Building Sustainability and
Resilience (IBSR) Research 7
Slide 8
How to Ensure Timely Data Collection and Processing? Big Data
Analytics for Infrastructure and Building Sustainability and
Resilience (IBSR) Research Source: General Services Administration
(GSA) 3D/4D BIM Guide Series Which method? Domain Requirements
Geometric complexity Site Model Imaging planning (some images from:
Huber et al., Leica, FARO, UCSD, Michael Baker Jr., Inc.) Data
processing and interpretation Objectives of data collection 8
Slide 9
Dynamic Programming for 3D Imaging Planning Big Data Analytics
for Infrastructure and Building Sustainability and Resilience
(IBSR) Research 9 Using Graphs to represent features and spatial
relationships between them identify clusters of features for less
computational expensive 3D imaging planning Combine local solutions
to approximate the solution of the complete network of
features
Slide 10
Adaptive Imaging and Data Processing Big Data Analytics for
Infrastructure and Building Sustainability and Resilience (IBSR)
Research Deflection Sweep (a)(b) (c)(d) (e) Data New Objectives of
Data Collection and Processing 10
Slide 11
Whats Next? Analyzing tolerances Tolerance control strategies
Workflow optimization Exponentially large combinations of data
collection and processing options New optimization methods Big Data
Analytics for Infrastructure and Building Sustainability and
Resilience (IBSR) Research 11
Slide 12
Big-Data Research 1: Correlated Spatial Change Pattern Analysis
Big Data Analytics for Infrastructure and Building Sustainability
and Resilience (IBSR) Research 12 Discovering general principles of
changes from data of thousands of structures
Slide 13
Big-Data Research 2: Collaborative Data Processing History
Analytics Big Data Analytics for Infrastructure and Building
Sustainability and Resilience (IBSR) Research Obj. 1 Workflow
Pattern DetectionObj. 2 Workflow Generation For safety margin
analysis of civil infrastructures 13
Slide 14
Summary and Future Research The emerging importance of
coordinating data collection and processing workflows with site
conditions and constraints Scientific challenges: 1) theoretical
foundation for automatically determining objectives of data
collection; 2) new computational models for rapid planning of data
collection and planning workflows Future Big-Data directions: 1)
correlated spatial pattern analysis; 2) harvesting and managing
data processing histories of engineers and scientists Big Data
Analytics for Infrastructure and Building Sustainability and
Resilience (IBSR) Research 14
Slide 15
The basketball court cleaner
http://www.sweatblock.com/images/excessive-sweating.jpg
http://www.nba.com/multimedia/photo_gallery/1204 SweatCan fallFloor
get wet Big Data Analytics for Infrastructure and Building
Sustainability and Resilience (IBSR) Research 15
Slide 16
Pingbo Tang [email protected] Adaptive 3D Imaging and Change
Analysis of Civil Infrastructures
