eric wing, gisp july 6, 2010 penn state advisor: dr. todd bacastow leveraging linear referencing to...
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Eric Wing, GISP
July 6, 2010
Penn State
Advisor: Dr. Todd Bacastow
Leveraging Linear Referencing to Map Sewer Events from
CCTV Logs
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Overview
Background Objectives Methodology Timeline Challenges Anticipated Results Questions
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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
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Sewer in the Field
Background Objectives Methodology Timeline Challenges Anticipated Results
GIS Data– Manholes– Mainlines– Service Laterals
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GPS vs CCTV
Background Objectives Methodology Timeline Challenges Anticipated Results
GPS– Since 1995– 22,431 records– Better
representation
CCTV– Pre 1990– 60,454 records
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CCTV
Background Objectives Methodology Timeline Challenges Anticipated Results
Service Laterals Roots Material Changes Cracks Grease
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Current Process
Background Objectives Methodology Timeline Challenges Anticipated Results
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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
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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
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Project Management
Background Objectives Methodology Timeline Challenges Anticipated Results
Sponsorship Coordination Accountability Guide the
paradigm shift
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Linear Referencing
Background Objectives Methodology Timeline Challenges Anticipated Results
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Research Approach
Background Objectives Methodology Timeline Challenges Anticipated Results
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
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Development Approach
Background Objectives Methodology Timeline Challenges Anticipated Results
Iterative Design
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Timeline
April– Project planning– Literature review– Requirements planning
May– Requirements gathering– Document current processes
June– Prototype– Finalize requirements– Present to peers
Background Objectives Methodology Timeline Challenges Anticipated Results
July– Conceptual design– Draft new process– Start development
August– Continue development– Document new processes
September– Implement solution– Closeout project– Present at conference
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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
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Challenges Continued
Reverse Setups 12:00 and 6:00 observations
Background Objectives Methodology Timeline Challenges Anticipated Results
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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
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Prototype Results
Background Objectives Methodology Timeline Challenges Anticipated Results
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Anticipated Results: Bonus
More data, better decisions– Wastewater pretreatment– Rehabilitation/reconstruction– Construction
Alternative to Hansen
Background Objectives Methodology Timeline Challenges Anticipated Results
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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
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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-user-group/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
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Questions