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  Clancy, D., Gustafson, J., & Higgins, L. (2002). Economical Sewer Main Rehabilitation Utilizing ArcGIS and Dynamic Segmentation. Retrieved from  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): Retrieved from  ESRI. (2001). Linear Referencing and Dynamic Segmentation in ArcGIS 8.1. Retrieved from  ESRI. (2003) Linear Referencing in ArcGIS: Practical Considerations for the Development of an Enterprisewide GIS. Retrieved from  ESRI. (2006) GIS for Utilities [PowerPoint slides]. Retrieved from group/past-events/january /arcgis-tools-for-water-and-wastewater.pdfhttp:// group/past-events/january /arcgis-tools-for-water-and-wastewater.pdf  Ferreira, A., & Duarte, A. (2005) A GIS-Based Integrated Infrastructure Management System. Retrieved from  Goodman, J.E. (2001). Maps in the Fast Lane – Linear Referencing and Dynamic Segmentation. Retrieved from  Meehl, J. (2004). Pipeline Integrity Management Using Linear Referencing With ArcObjects. Retrieved from  Pierre, J., Mosher, J., Hargis, A. (2006). Linear Referencing in Boulder County, CO: Getting Started [PowerPoint slides]. Retrieved from

Questions