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This presentation outlines the data and techniques used to provide a prioritized rating value and map of the condition and improvement priority of the collection system infrastructure as part of the development of an Asset Management Information Plan (AMIP) for the City of Albany. Factors such as age, material and maintenance activities were considered in addition to community and environmental factors as well as consideration of the proximity of sewer structures to downstream storm structures.
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Modeling Asset Condition Using LIDAR and GIS Data
Colin Hobson Director, North America Open Spatial Corporation
This presentation outlines the data and techniques used to provide a prioritized rating value and map of the condition and improvement priority of the collection system infrastructure as part of the development of an Asset Management Information Plan (AMIP) for the City of Albany
Overview and purpose
Conceptual model and data sources
COND_CATEGORY
A - 10 or more years
B - 5-10 years
C - 1 - 5 years
OBSERVED CONDITION Structural condition Ops and maint. condition
PROBABILITY (OF FAILURE) Age Material
CONSEQUENCE Pipe Diameter Environmental proximity Construction Critical crossings
RISK SCORE
CONDITION SCORE
Prob.
Con
seq.
Cond.
Ris
k
TOTAL SCORE
Build Asset Intelligence
Paper maps As builts & projects
CAD drawings
Seamless, connected, attributed network
Modeling, Online maps, mobile apps
Management WO’s, Planning
• Structural
• Ops and Maint
• Age • Material • Diameter
• Condition from CCTV
• Derived from CMMS Score based on maintenance and repairs required
• Derived from as-builts,
field notes and stored in GIS database
Data sources
• Build attributed asset inventory in Munsys using – Existing CAD/DWG maps – Paper as-builts – Field check and updates – In the office
• Checking • Imagery • Google
• Autodesk Civil 3D and Munsys for LIDAR surface and flow analysis
• Autodesk InfraWorks
How was the data gathered and checked
Reference and locate as-built documents
Reference and locate as-built documents
Update directly from as-builts
Track and find referenced as-built documents
Show and list all referenced as-builts for the project area (solid red area)
Search, find and hyperlink in a browser
Search, find and hyperlink in a browser
Selected objects
Summary list of objects
Individual details and hyperlink
Search, find and hyperlink in a browser
As-built document opened from Hyperlink
Fully attributed asset inventory in Munsys
Error checking using 3D visualization
From asset inventory to 3D visualization
Example factors
LIDAR data used for flow checking between sewer and storm systems: Surface loaded in Autodesk Civil 3D with Sewer and Storm data
LIDAR data used for flow checking between sewer and storm systems: Water surface flows displayed
LIDAR data used for flow checking between sewer and storm systems: Flow from Sewer to Storm recorded – distance, ID and type of asset
Proximity factors
Using the model – data manipulation Linked GIS Source data Calculated values and derived categories
Using the model – calibration categories Set category ranges and factors – view changes dynamically
Using the model – scores from matrices
Using the model – data listing of score, priority and repair and replace costs for each pipe segment
Output on the Map – Repair categories
Tangible value – repair priorities
Conceptual model and data sources
COND_CATEGORY
A - 10 or more years
B - 5-10 years
C - 1 - 5 years
OBSERVED CONDITION Structural condition Ops and maint. condition
PROBABILITY (OF FAILURE) Age Material
CONSEQUENCE Pipe Diameter Environmental proximity Construction Critical crossings
RISK SCORE
CONDITION SCORE
Prob.
Con
seq.
Cond.
Ris
k
TOTAL SCORE
