TRIP: Transferring Research into Practice Integrating Advanced PCA Technology into

Comprehensive Asset Management Programs

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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

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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

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• 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

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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

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The Roadmap to Accomplish Mayor Franklin’s Vision Requires AM for Assuring Sustainability

Requires:

• Innovation• Validation• Education

BAMI-I background

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• 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

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ESTABLISHING A PATHWAY FOR ACHIEVING WATER UTILITY INFRASTRUCTURE MANAGEMENT EXCELLENCE

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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

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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

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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)

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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

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Elios Inspection

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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)

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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

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OPTICAL SCANNING SYSTEMS

• SSET

Blackhawk-PAS

“Un-wrapped” Side Scan Image

Forward Looking Image

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OPTICAL SCANNING SYSTEMS

• SSET

Blackhawk-PAS

“Un-wrapped” Side Scan Image

Forward Looking Image

12”, Re-enforced Concrete

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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

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• 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

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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

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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)

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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

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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

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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

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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

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Examples of Images Used for Training and Testing

Images collected from over 200 pipeline inspections

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Demonstration – Fracture Detection

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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

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Demonstration – Operational Defect Detection

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International Infrastructure Solutions

“Improving the Triple Bottom Line (Environment, Economic & Social) through Advanced Infrastructure Solutions”

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WUHAN EASY-SIGHT TECHNOLOGY COMPANY LIMITED

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• Capital of Hubei Province

• Most populous city in Central China

• Recognized as the political, economic, financial, cultural, educational and transportation center of central China

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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

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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

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ES Sonar Technology

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Contact information

Tom Iseley, BAMI-I

E-mail: dtiseley@latech.edu

Thanks for your attention!

Questions?

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