Eric Wing, GISP

July 6, 2010

Penn State

Advisor: Dr. Todd Bacastow

Leveraging Linear Referencing to Map Sewer Events from

CCTV Logs

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

Background Objectives Methodology Timeline Challenges Anticipated Results

GIS Data– Manholes– Mainlines– Service Laterals

GPS vs CCTV

Background Objectives Methodology Timeline Challenges Anticipated Results

GPS– Since 1995– 22,431 records– Better

representation

CCTV– Pre 1990– 60,454 records

CCTV

Background Objectives Methodology Timeline Challenges Anticipated Results

Service Laterals Roots Material Changes Cracks Grease

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

Background Objectives Methodology Timeline Challenges Anticipated Results

Sponsorship Coordination Accountability Guide the

paradigm shift

Linear Referencing

Background Objectives Methodology Timeline Challenges Anticipated Results

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

Development Approach

Background Objectives Methodology Timeline Challenges Anticipated Results

Iterative Design

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

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-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

Questions