CCTV in InfoNet(or InfoMaster)

Ann Pugh

Often data is provided as Plans, PDF and Excel

Build the Network

CCTV

Defects Table – video can be replayed

And defects reviewed & edited

Changed Defect and Structural Score

Corrected Survey Length

But only one survey lined up with pipe information

Split the surveys to match the asset information

Reviews Codes in CCTV defects table

605622 Inconsistent coding, 89.5m is a connection not a junction

586159

Start manhole digitised in wrong location so asset lengths

don’t match recorded CCTV lengths

Side Entry Pit Location confirmedwith Google Street View

586156

• Add defect for small tree roots

• JN at 24m is only a Connection – code changed

CCTV lines up with all assets

Calculate CCTV Scores from Defect Codes

Uses WSAA3 (or WSAA2)

Progress can be tracked via a dashboardWhat results am I getting back from my CCTV?

Asset Management

Update Pipes with “Current” CCTV information

Updates the Structural, Service and Likelihood Scores

View these on the map

View select CCTV defect codes

Understand in context – this Void is under a driveway

This could be on an intersection

Scheduling Action

Schedule a Pipe Repair

Each action is tied to a recorded defect

or CCTV

Means:

Justification of expense

and Transparency in Asset Management

process

Assign an urgency and planned date (and estimated cost)

Understand and Report on Budget

Review Future Estimated Spend to fix known (observed) issues

Understand and Report on Budget

Review Historic Actions – estimated costs and actual costs

Understand and Report on Budget

Summary of specific actions

X

Risk

Use Spatial Queries

Consequence of failure can be customised via SQL

queries. This example is a spatial query using

underlying GIS data.

InfoMaster provides Wizards to simplify this process.

Assign a consequence of failure based on road type

Queries can be customised by users, and different scenarios analysed

Risk Assessment, combine likelihood and consequence

Simplistic Exercise for those pipes with CCTV, but can be extrapolated to other pipes via use of cohorts

Lifetime Estimator: Defining cohorts

• Pipe Class is User Defined

• Populated via Query

CCTV Results can then be used to predict failure

More data will lead to better prediction

Remaining Useful life (and Likelihood) can be calculated

Can then undertake scenario analysis

• What if we have to replace every asset at end of estimated lifetime ?

What if all the “unknown” age concrete pipes only last 25 years ?

What if they last 40 years?

Or 60?

For more details:

• Innovyze Websitehttp://www.innovyze.com/products/infonet/

http://www.innovyze.com/products/infomaster/

• Local Client Services Manager

Questions ?