SPM User Group - SPM Assets · SPM User Group March 2014. The Journey… ... DATA SCIENCE...

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Wellington City Council Forecasting beyond 30-years Asset Analytics SPM User Group March 2014

Transcript of SPM User Group - SPM Assets · SPM User Group March 2014. The Journey… ... DATA SCIENCE...

Page 1: SPM User Group - SPM Assets · SPM User Group March 2014. The Journey… ... DATA SCIENCE (Statistical Models) ... all relevant fields are not empty and in correct format.

Wellington City Council

Forecasting beyond 30-yearsAsset Analytics

SPM User Group

March 2014

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The Journey…….

Real World Problem

The Foundations

Our ‘Strategy’

The Plan

The Rationale

The Models (Analytics)

The Benefits

Our Vision

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Real World Problem - Schematic

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The Practical Problem – Deterioration Curves

WCC’s Assets are decaying at a rate of $2m per week

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Wellington City’s 3-Water Assets Problem

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Here’s where we started….

Data Quality – low mathematical precision < 35%(data confidence)

Data Consistancy < 30%(data completeness)

Data not aligned

Data not integrated (‘joined up’ or ‘accessible’)

Advanced analytics simply not possible

.........off to the drawing board

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The Foundations3-Pillars (Strategic Decisions)

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1st Pillar - Meta-Data Standards

1st Strategic Decision

3-Waters

& Transport

& Built

& Green

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2nd Pillar - Asset Mgt. Information Systems

2nd Strategic Decision

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3rd Pillar - Analytics

3rd Strategic Decision

DATA SCIENCE

(Statistical Models)

MATERIALS SCIENCE

(Physical Models)

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3 Pillars - Integrated

Having Set the Scientific Platform…..

These must line up

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3 Pillars – Disparate Data Alignment

Where we were

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3 Pillars - Integrated

Where we are / working towards………

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Our ‘Strategy’Standards & Models

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Interdisciplinary Model – Building Competency

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Interdisciplinary Model – Adopting Standards

International StandardsLocal, Regional, National StandardsDesign & Build StandardsTechnical StandardsGIS StandardsMeta-Data Standards

Heirarchy

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Interdisciplinary Model – The Model HierarchySocial ModelsCultural ModelsEnvironmental ModelsEconomic ModelsFinancial ModelsDemand ModelsCapacity ModelsResilience Models, Criticality ModelsCondition ModelsStatistical Models

Heirarchy

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Interdisciplinary Model – The Model Hierarchy

Fundamental Rethink

The most fundamental of all the building blocks are not / have never been established

Meta-Data Schema’s & Statistical Models

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Interdisciplinary Model – The first blocks

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Interdisciplinary Model – Asset Agnostic

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Interdisciplinary Model – WCC’s Asset Platform

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The Plan‘Build it’

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Current StateDetermining Attribute Deficiency

Developing Statistical Models – At an Asset Attribute Level of Data

Statistical Models(Harmonics)

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Current State – Future StateDeveloping the Plan and “The Case”

Resourcing the Plan

Work Packages

Better Busines Case

Proof of Concept(Harmonics)

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The Models (Analytics)Achievements to Date

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Investment Analytics – Wastewater (Pipes)

Statistical Language - RKarori - Renewals Karori - Growth Karori - Both

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Investment Analytics – Wastewater (Pipes)

Statistical Language - RMiramar - Both Karori & Miramar - Both Wellington - Both

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Investment Analytics – Roading (reseals)

Statistical Language - RKarori - Renewals Wellington Renewals

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The Benefits

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Captured Interdisciplinary Benefits

Balanced / Informed evidence-based decision-making

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Interdisciplinary Benefits – In Practice

Engineering (Asset / BU)

• Forwards Works Programs – clear line of sight• Investigation (e.g. Condition Assesments, R&M,

Materials Sampling, CCTV) • Replacement (incl. Interactivity – Roading Reseals vs.

Pipe Renewals)

• Carrying ‘Risk’ – on Criticality Paradigm (e.g. Run-to-Fail)

• Asset Performance (Practical & Financial)

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Interdisciplinary Benefits – In Practice

Financial

• Forwards Works Programs – transparency (30+ years)Renewals Forecasting (depreciation commitments)Growth Forecasting (LOS and Dev. Cont. Commitments)

• WCC Borrowing Implications (e.g. Funding Caps)

• Asset Performance Financial – Economic Development Headroom

• Carrying ‘Risk’ – on Cost / Benefit / Risk Paradigm

• Meeting OAG Audit Requirements 30 year Infrastructure Plan

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Interdisciplinary Benefits – In Practice

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Interdisciplinary Benefits – In Practice

Spatial Planning

• Economic Development (evidence base decision-making)• Economic Utility – Optimised urban planning –

infrastructural capacity• Opportunity Cost of Investment – by Suburb (e.g.

Karori vs. Mirimar vs. Linclonshire Farm)

• Spatial Planning • Capacity Metrics – e.g. HEU’s maximum density• Social Metrics – e.g. Walking distance to a park

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Our ‘Vision’

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Interdisciplinary Model – WCC’s Asset Platform

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Interdisciplinary Model – Intra-sectoral

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Interdisciplinary Model – Intra-sectoral

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Interdisciplinary Model – The Sector

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Interdisciplinary Model – Inter-Sectoral

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Interdisciplinary Model – Inter-Sectoral

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Interdisciplinary Model – Inter-Sectoral

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Practical Vision – Returning to ‘First Principles’

Doing the ‘BASICS’ well...

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Here’s where we started are (<2 years)….

Data Quality – low mathematical precision < 35% / 68%(data confidence)

Data Consistancy < 30% / 73%(data completeness)

Data not aligned / Data Aligned

Data not integrated (‘joined up’ or ‘accessible’) / Data Integrated

Advanced analytics simply not possible / possible & proven

.........off to file the drawing board

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Some ‘Cool Stuff’

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Electronic Transfer from BIM to WCC Asset Database SPM• Taking information from Building Design through to As Built

documentation and transferring it to Asset Management Database to allow for Analysis of Assets.

• Also useful for Facilities Management of the Building asset with both Database information & 3D model

• Less input/cost into setting up building information in Database• Higher quality & accurate information to allow better management of

building

Presenter
Presentation Notes
Title pages
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Proof of Concept 1

• Using Revit model of an existing 5 unit stand alone site, populating the model & then transferring information via Access or Excel to then transfer information into SPM

• Existing information in SPM• Model designed in 2 parts. A site

model with individual buildings linked to site

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SPM OUTPUT ON PROJECT IN EXCEL

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SPM INFO FOR REVIT

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How Revit Stores information

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Revit can schedule these parameters

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BIM to Database• Main BIM software in buildings is Archicad, Revit, Bently &

Vectorworks. Predominantly Revit & Archicad used by Architects & Engineers on buildings.

• Vendor neutral or common methods of data transfer• Revit DB Link & Schedule to Excel both freeware add=-ins to Revit• To import into SPM only so much information required from Model,

so an intermediate step is needed• Excel & Access are used as common software that can manage

the amount of data exported from Revit. Excel more common in construction industry

• An important next step is developing a validation process to insure all relevant fields are not empty and in correct format

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Data Exchange Revit DB link• Exporting from Revit Model for this project was

successful to both Access & Excel.• Information overload. Exporting data from this model

into Excel created over 250 worksheets with over 3500 headers. These are the generic Revit exports of all Family types, whether there are any actual families in model or not.

• Trying to find relevant fields was difficult to get to

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Revit Schedule to Excel• This only exported what was in schedule, so could be more

targeted.• Shared parameters that matched SPM database were developed

and put into Revit at Project & Family (component ) level.• Each individual family had to have its own schedule.• These were exported to individual Excel files• One file (Ceilings) was imported into SPM and then exported again

to give SPM Unique Key to component• This was then successfully transferred back into the Model. So

individual component in model has SPM key assigned to it.

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Lessons Learned to Date on Standalone• We have demonstrated a 2 way link between 3D model & SPM database, using

shared parameters to harmonise fields between SPM and Model• The process used is cumbersome using schedules, so for larger projects the Full

Export to Excel or Access will need to be investigated with setup search functions to obtain relevant information

• Generally most elements & components fall into the Database Hierarchy but a few items do not schedule well at present

• Walls do not schedule by space. As a family they have 2 sides so relate to spaces either side. In the Wall Schedule or Material take off the information falls out by wall types, which is not useful. Further investigation is required.

• A further step is to explore services which extend through site & rooms such as hot or cold water pipes and drainage

• And the next project for Proof of Concept is……….

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150 unit apartment block

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Wellington City Council

Forecasting beyond 30-yearsInfrastructural Asset Analytics

QUESTIONS?Haydn Read BSc.(Hons), MSc., Adv. Dip Fin., MBA (Dist.), MIoDNZ, MIGENIUM, MIPENZ

Strategic Asset Planning Manager, WCC

[email protected]