trip transferring research into practice integrating ...feb 04, 2020 · first steps towards sses...
TRANSCRIPT
TRIP: Transferring Research into Practice Integrating Advanced PCA Technology into
Comprehensive Asset Management Programs
1
Presenter: Professor Tom Iseley, Ph. D., P.E., Dist. M. ASCE, PWAM
Professor Emeritus, Louisiana Tech UniversityDirector of Development, Trenchless Technology CenterChair, BAMI-I Board of DirectorsPresident, International Infrastructure Solutions (IIS), LLC
2
AM Water & Sewer Definition
Address customers’ immediate service requirements while managing the system assets to meet long-term requirements reliably & cost effectively
Long-term AM results in:– Increased Asset Life– Decreased Maintenance Costs– Decreased Capital Costs– Permits planned spending based on critical needs.– Allows scarce financial resources to be effectively used.– Potentially increases revenues by revealing opportunities
to sell or lease land or retired assets, sell excess capacity, provide outside services, or initiate new business.
BAMI-I background
3
• 1972 Clean Water Act (PL 92-500)
Launched NPDES (National Pollutant Discharge Elimination System)
First steps towards SSES (Sewer System Evaluation Survey)
• AM Continued Advancement
CMOM (Capacity, Management, Operation, Maintenance Program)
GASB 34 (General Accounting Standards Board) -requirements
AM: Origins in the Utility Industry
4
Water & Sewer Champion
Mayor Shirley Franklin – Atlanta’s Sewer Mayor• Atlanta Journal-Constitution – July 15, 2002
Atlanta eager to develop world-class sewer system
• People worldwide dream of living in a community with clean water, plentiful jobs and affordable housing. Over the Next 12 years, Atlanta will make its largest investment ever in such a dream. To assure high water quality and long-term economic stability for ourselves, our children and grandchildren, we are embarking on a $3B sewer improvement program.
• Most of this investment is required under a federal court order --- it is our opportunity to develop a world-class sewer system (water program)
BAMI-I background
5
The Roadmap to Accomplish Mayor Franklin’s Vision Requires AM for Assuring Sustainability
Requires:
• Innovation• Validation• Education
BAMI-I background
6
• In 2003, formed in Atlanta’s Department of
Watershed Management as a result of inspiration
& leadership by Mayor Shirley Franklin &
Commissioner Jack Ravan.
• In June 2004, formed as non-profit organization.
• Serves to provide a center of excellence for
owners of underground water infrastructure to
join with industry and researchers:
BAMI-I background
7
ESTABLISHING A PATHWAY FOR ACHIEVING WATER UTILITY INFRASTRUCTURE MANAGEMENT EXCELLENCE
8
Our Roadmap and Vision for Engaging Current and Future Decision-Makers Must Address:
Resource: EPA Asset Management_Best Practices
Five Core Components of an Asset Management Framework
9
CORE COMPONENT No. 1Current State of Assets
• What does the utility have – Inventory
• Where are the assets located – Mapping
• What are the assets condition – PCA (Pipeline Condition Assessment)
• What technical solutions are available to optimize the useful life of these assets – Trenchless Technology
10
What is CTAM?
• Certification of Training in Asset Management
• Exclusive four-part series training
Levels of Certification
• Associate Water Asset Manager (AWAM)
• Professional Water Asset Manager (PWAM)
11
12
City of Ruston Department of Public Work’s 72” (2.13m) active storm drain demonstration site.
Courtesy of Dr. Tom Iseley, TTC, Louisiana Tech University13
Above ground 24” (600mm) carbon steel pipeline demonstration with Matrice Drone System
Dr. Tom Iseley with the CCTV and thermal camera equipped drone protected by carbon fiber safety cage
Drone at entrance and entering 24” steel pipe
14
Elios Inspection
15
Automated sewer pipe inspection
ASCE CERF 13-City SSET Evaluation Report
The tractor mounted the first SSET probes The upgraded SSET (version 2)
Sewer Scanning & Evaluation Technology (SSET)
16
OPTICAL SCANNING SYSTEMS
• Sewer Scanning & Evaluation Technology (SSET)
• The SSET is based on optical borehole scanning technology developed for the oil and gas reservoir analysis
• Provided engineers with detailed information of fractures and other geologic features
• The same scanning technology was later adapted for use in mapping fractures for groundwater studies
• Systems became less expensive and more portable
Blackhawk-PAS17
PIPE POSITION DETERMINATION
• Gyrosteering Tools• The SSET FDA (Field Data
Acquisition) Digital Scanner• High-angle “fish eye” lens
• 360-degree side scan
• Forward-looking views
• High-intensity LED light array
• On-board gyroscope to measure meander
• Inclination measurement
• Data digitally recorded
18
OPTICAL SCANNING SYSTEMS
• SSET
Blackhawk-PAS
“Un-wrapped” Side Scan Image
Forward Looking Image
19
OPTICAL SCANNING SYSTEMS
• SSET
Blackhawk-PAS
“Un-wrapped” Side Scan Image
Forward Looking Image
12”, Re-enforced Concrete
20
Leveraging Big-Data and Data Mining for Condition
Assessment of Wastewater Pipelines
Srinath Shiv Kumar1a, Prof. Dulcy Abraham1, and Prof. Tom Iseley2
1 Lyles School of Civil Engineering, Purdue University2 Trenchless Technology Center, Louisiana Tech. University
a PhD Candidate in Civil Engineering and Vice-President of NASTT Purdue Student Chapter
21
• CCTV inspection is the primary method of assessment
• 800,000 miles of wastewater pipelines in the US
https://drainskleen.com.au/cctv-drain-inspection/cctv-pipe-inspection-drain-surveys/
• Propensity to be slow, subjective, and erroneous
CCTV Sewer Inspections
22
1Anomaly Identification
Typically 20% of video-frames contain defects
Defect FramePotential for Automation
2Defect Classification
Identify and classify defectsRootDeposit
3Defect Classification and Localization
Identify, classify, and identify the
position of defects
Deposit @ 9’O clock
23
Crack Crac
k
Root
Input Inspection Video Defect/Feature Detection Output Inspection Report
Distance Defect Position
110 Crack 10 - 11
110 Crack 1 - 2
114 Root 7 - 9
Development of Automated Interpretation System
Convolutional Neural Networks (CNNs)
24
Motivation for using CNNs
Learn to detect objects in images
Extensively used in self-driving cars, medical image analysis,
agriculture, etc.
(Zhu et al. 2016)
Recent Advancement in Artificial Intelligence
https://towardsdatascience.com/how-do-self-driving-cars-see-13054aee2503
25
Methodology Defects Addressed
Affect structural integrity
Remaining service life estimation
Repair or rehabilitation
Could lead to pipe collapses
FractureDeposit
Faster Region-based CNN
• Popular deep-learning model
• Indicates defects using boxes
26
Defects Addressed
Affect hydraulic capacity
Maintenance activities
Sewer overflows and backups
May progress into structural defects
Methodology
Faster Region-based CNN
• Popular deep-learning model
• Indicates defects using boxes
FractureDeposit
27
Training the Model to Detect Defects
Faster R-CNN
Manually Identified Defects
Current Model uses a Variety of Images
Automatically Identified Defects
• 20,000 annotated images of 8-in, 10-in, 12-in VCP and PCCP
• Images provided by Hazen and Sawyer, RedZone Robotics, and Hydromax USA
AI Model
28
Examples of Images Used for Training and Testing
Images collected from over 200 pipeline inspections
29
Demonstration – Fracture Detection
30
86% confidence
that this is a
fracture
We can infer that the
defect is in the
12 ‘O clock position
Upstream distance
can be read from
video
Demonstration – Fracture Detection
31
Demonstration – Operational Defect Detection
32
International Infrastructure Solutions
“Improving the Triple Bottom Line (Environment, Economic & Social) through Advanced Infrastructure Solutions”
33
WUHAN EASY-SIGHT TECHNOLOGY COMPANY LIMITED
34
• Capital of Hubei Province
• Most populous city in Central China
• Recognized as the political, economic, financial, cultural, educational and transportation center of central China
35
Periscope / Pole Camera
Profiling Laser
M Type Crawler Camera
TISCIT –Totally Integrated Sonar & CCTV Inspection Technology
Push Rod Endoscopic Camera
Large Crawler Long Distance
Robotic Crawler/Cleaner
Panoramic Crawler
H Type Crawler Camera
Sonar Imager
EST Inspection Systems
EASY-SIGHT NEW 3D IMAGING TECHNOLOGY DEMONSTRATION
37
38
39
40
41
QUICKSEE X1-H PIPELINE PERISCOPE (Pole Camera)
• Digital HD Imaging – up to 4 million pixels
• Wide ranging application – manhole, chambers, confined space, etc.
• High intensity illumination enable effective inspection over longer distance
• Wireless Control and data transmission – combination mobile network and cloud data interaction
• Real time on site inspection review
• Accurate laser distance measurement
• Ultimate reliability
42
ES Sonar Technology
43
Contact information
Tom Iseley, BAMI-I
E-mail: [email protected]
Thanks for your attention!
Questions?
44