Wellington City Council. Pipe Information Management System (PIMS) InfoNet Project. August 2012

Transcription

1 Wellington City Council Pipe Information Management System (PIMS) InfoNet Project August 2012

2 Agenda Background to Wellington 3 Waters The Wellington Asset Problem Business Process Issues Single Source of the Truth Project Stages Data Meshing Data Cleansing Where to next?

3 Wellington Historic background 1865 Capital population 7, st Karori Reservoir 1893 Storm & Sewerage separated 1900 population 49, nd Karori Dam 1911 Morton Dam 1927 Water Board 1943 Hutt River scheme 56km pipeline 1978 NZ first CCTV 1988 Bespoke AMS & digital mapping 1990 s onward HDPE

4 How big is Wellington s problem? American Water Works Assoc. estimates $250 billion over next 30 years (Marlow & Burns 2008). Severn Trent Water one of the 10 UK water organisations has: 45,000 km of water mains & 53,000 km of sewers. (Hammond & Jones 2000). Wellington City has less than 200,000 residents. But nearly 50% of the rates income is spent on water. Average rates $ 2,243, of which - water $1,053 (Dominion Post 14 July 2012)

5 The Wellington Asset Problem WCC Assets $6.1 bn P&G, Housing $2.1bn - Confirm 3 Waters $2.2bn - InfoNet Roading $1.8bn - RAMM

6 Table of Annual Report Results

7 3 Waters Planned Capex 40 years $40m $28m $14m

8 Business Process Issues No single source of data Unstable link between ArcSDE and Confirm Inability to directly import electronic files Duplication of manual data entry Inability to import, extract and report on existing data in current systems No intelligence or automation Connectivity/Topology rules not enforced Poor 3D capability Revision of current data model required

9 Needing a single source of the truth

10 Solution? RFP to find a solution that could... Develop a single complete dataset, holding all attribute data and represent all assets spatially.

11 Project Guidelines RFP must haves Adopt standards D Spec Use industry best practice Standard COTS software Copy and co-operate with others Don t invent a wheel!

12 With InfoNet

13 RFP & Project Process Pilot POC July 2011 Dec 2011 RFP Released Responses Received RFP Evaluation Completed Vendor Presentation & Demo Business Case Sign Off Contract Awarded to JBCL RFP Process PIMS Project Phase 1 Jan 2012 June 2012 Phase 1 Waste-water & Storm-water Import & Data Match Prelim Data Cleansing Interface Script Dev. Push data To Confirm & ArcGIS Live in Production Synch BAU Increments Aug 2012 Feb 2013 PIMS Project Phase 2 Phase 2 Potable Water Import & Data Match Prelim Data Cleansing Interface Script Dev. Push data To Confirm & ArcGIS Live in Production Synch BAU Increments

14 Implementation Phase 1 Wastewater & Stormwater Implement the Dev/Test system Load test data from ArcGIS and Confirm Training for Infrastructure users Develop data load scripts for ArcGIS and Confirm Clean Up and match databases - Wastewater Develop integration scripts with ArcGIS Wastewater Develop integration scripts with Confirm Wastewater Test Repeat for Stormwater Implement in Production Go live for Wastewater & Stormwater Training Synchronise incremental (BAU as-built) changes

15 Wastewater Nodes Current State (April 2012) 682 Nodes Missing Confirm 38,753 Nodes Populated ArcGIS 39,512 Nodes Transferred 759 Nodes Missing Nodes missing from ArcGIS and Confirm? Data Cleansing

16 Stormwater Nodes Current State (May 2012) AUTO 1,124 Nodes Generated Confirm 38,923 Nodes Populated 827 Nodes Missing ArcGIS 41,001 Nodes Transferred 153 Nodes Missing Nodes missing from ArcGIS and Confirm? Data Cleansing

17 Long Section illustrates data issues

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19 Connectivity Trace Blue assets not connected to main network

20 Ongoing Data Cleansing Validate Historic WCC Drainage Database including pre records Map Critical Drains CBD Hospital - Kilbirnie As-Built CleanUp backlog and reworks Catchments missing pipe diameters and materials Investigate/QA pipe diameters Sewers pre 1910; Culverts in CBD; critical drains under access roads CCTV programme digitisation & conversion

21 Building the Asset Model Asset attributes Confirm Current Defect/Repair CityCare External Parties GIS Data CAD Shapefile As-Built Council Engineers Historic Defect/Repair Confirm Historic attributes JB Database Historic As-Built CCTV Inspection Data

22 Although there are many asset models..... poor quality input data lead to poor quality outputs, (Parsons 2006) Intervene only on failure Intervene using time Time-based modelling Intervene using the condition Asset simulation Detecting potential failures Condition and performance: deterioration curves

23 Data Analysis Seeing the benefits of reporting tools

24 Age of the Waste water Asset

25 Age of the Storm water Asset

26 Journal of Water Supply Research & Technology 2008 Failure Prediction and optimal scheduling of replacement in asbestos cement water pipes. P. Davis et al

27 Age of the Waste water AC Assets

28 Age of the Storm water AC Assets

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30 Programme of Projects for 3 years Business Process Mapping Data Cleansing desktop exercise Data Improvements Data Collection Data Digitisation Data Validation

31 References & Acknowledgements Marlow DR & Burn S (2008). Effective use of condition assessment within asset management. J Am Water Works Assoc 100(1): Hammond M & Jones P (2000). Effective AM. Maint Asset Mgt15(4): 3-8. Dominion Post (14 July 2012). Katie Chapman, Insight, Running the Ruler over Rates. Parsons (2006). Regulating asset management, 12 th Middle East Forum on Maintenance Management, Dubai. Thanks to the following for their contributions and encouragement: Haydn Read, Vaughan McEwen, Martyn Simpson, Llew Lusty, John Boot, Martin Henson, of WCC. Louise Lindsay, of JBCL.