Leveraging Linear
Referencing to Map
Sewer Events from
CCTV Logs
Eric Wing, GISP
July 6, 2010
Penn State
Advisor: Dr. Todd Bacastow
Overview
 Background
 Objectives
 Methodology
 Timeline
 Challenges
 Anticipated Results
 Questions
Boise and Sewer
 650 miles of sewer
lines
 51,760 customers
 30 million dollars
annual revenue
 150 users in Public
Works
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Sewer in the Field
 GIS Data
– Manholes
– Mainlines
– Service Laterals
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
GPS vs CCTV
 GPS
– Since 1995
– 22,431 records
– Better
representation
 CCTV
– Pre 1990
– 60,454 records
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
CCTV
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Background
Objectives
Methodology
Timeline
Service Laterals
Roots
Material Changes
Cracks
Grease
Challenges
Anticipated Results
Current Process
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Issues
 12 year old UNIX server
 ARC/INFO 7 AML and coverages
 Many manual steps
 Automated processes take 62 hours
 Current solution has known limitations
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Objectives
 Streamline the process
– Reduce manual steps
– Automate where possible
 Use ESRI ArcGIS 9.3 technology
– No new extensions
– No additional software
 Correct for current limitations
 Evaluate expansion opportunities
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Project Management


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Background
Objectives
Methodology
Timeline
Sponsorship
Coordination
Accountability
Guide the
paradigm shift
Challenges
Anticipated Results
Linear Referencing
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Research Approach
 Understand the problem before solving
– Document current workflow
– Literature review
– Peer discussions with neighboring sewer
agencies
– Study linear referencing in ESRI software
– Document business requirements
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Development Approach
 Iterative Design
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Timeline


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April
– Project planning
– Literature review
– Requirements planning
May
– Requirements gathering
– Document current processes
June
– Prototype
– Finalize requirements
– Present to peers
Background
Objectives
Methodology


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July
– Conceptual design
– Draft new process
– Start development
August
– Continue development
– Document new processes
September
– Implement solution
– Closeout project
– Present at conference
Timeline
Challenges
Anticipated Results
Challenges
 Hansen 8 upgrade
 Synchronization between GIS and Hansen
 Appropriate level of solution sophistication
– Models
– Python scripts
– Out of the box functionality
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Challenges Continued
 Reverse Setups
 12:00 and 6:00
observations
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Anticipated Results
 Significant time savings
– Fewer manual steps
– More automation
 Eliminate UNIX server and ARC/INFO 7
 Open the opportunity to significantly
expand capabilities
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Prototype Results
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Anticipated Results: Bonus
 More data, better decisions
– Wastewater pretreatment
– Rehabilitation/reconstruction
– Construction
 Alternative to Hansen
Background
Objectives
Methodology
Timeline
Challenges
Anticipated Results
Acknowledgements
 City of Boise
– Barbara Edney, GIS Analyst
– Jim Pardy, Assistant City Engineer
– Melissa Rushton, Public Works Project
Coordinator / Hansen Specialist
 Penn State
– Dr. Todd Bacastow, Advisor
References

Cadkin, J., & Brennan, P. (2002). Dynamic Segmentation in ArcGIS. ArcUser, July-Sept. Retrieved from
http://www.srnr.arizona.edu/rnr/rnr420/dynseg.pdf

Clancy, D., Gustafson, J., & Higgins, L. (2002). Economical Sewer Main Rehabilitation Utilizing ArcGIS and Dynamic Segmentation.
Retrieved from http://proceedings.esri.com/library/userconf/proc02/pap1181/p1181.htm

Curtin, K., Nicoara, G. & Arifin, R.R, (2007). A Comprehensive Process for Linear Referencing. Journal of the Urban and Regional
Information Systems Association, 19 (2): 41-50. Retrieved from http://www.urisa.org/curtin

ESRI. (2001). Linear Referencing and Dynamic Segmentation in ArcGIS 8.1. Retrieved from
http://www.esri.com/library/whitepapers/pdfs/lrds_arcgis.pdf

ESRI. (2003) Linear Referencing in ArcGIS: Practical Considerations for the Development of an Enterprisewide GIS. Retrieved from
http://downloads2.esri.com/support/whitepapers/ao_/Linear_Referencing_in_ArcGIS.pdf

ESRI. (2006) GIS for Utilities [PowerPoint slides]. Retrieved from http://www.iowagic.org/resources/user-groups/eastern-iowa-usergroup/past-events/january-25-2006/arcgis-tools-for-water-and-wastewater.pdf

Ferreira, A., & Duarte, A. (2005) A GIS-Based Integrated Infrastructure Management System. Retrieved from
http://www.fig.net/pub/cairo/papers/ts_37/ts37_09_ferreira_duarte.pdf

Goodman, J.E. (2001). Maps in the Fast Lane – Linear Referencing and Dynamic Segmentation. Retrieved from
http://www.directionsmag.com/article.php?article_id=126

Meehl, J. (2004). Pipeline Integrity Management Using Linear Referencing With ArcObjects. Retrieved from
http://proceedings.esri.com/library/userconf/proc04/docs/pap1976.pdf

Pierre, J., Mosher, J., Hargis, A. (2006). Linear Referencing in Boulder County, CO: Getting Started [PowerPoint slides]. Retrieved from
http://proceedings.esri.com/library/userconf/proc06/papers/papers/pap_2071.pdf
Questions