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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 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.htmhttp://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/curtinhttp://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 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 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.pdfhttp://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 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 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 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 http://proceedings.esri.com/library/userconf/proc06/papers/papers/pap_2071.pdf
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