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Digital Engineering for LG Roads Infrastructure Planning
and Management
Ashish Shah, Road Asset Management, Logan City Council
City of Logan, Queensland, Australia
2DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• Located between Brisbane and Gold Coast
• Mixture of rural and urban
• 300,000 + residents
• 1.9% annual growth rate
• $3.3B in road and stormwater assets
• 2,239km sealed roads
• $13.488 billion (GRP)
• $850 million annual budget
What is BIM
3DE FOR LG INFRASTRUCTURE | AUGUST 2019
• Building (making of) information management
• Building (facilities) information modelling
• Building Information Management
• Virtual Design and Construction
• Better Information Management
• Digital Engineering
• Digital Twin
• Digital Replica??
• Digital Environment
Context of BIM/DE – New/ Major Project focus
4DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• ISO 19650 series
• PAS 1192 series
• National Digital Policy (Federal Government, Australia)
• BuildingSmart Australia BIM guidelines
• State government
• QLD BIM Policy and TMR implementation guides
• Victoria DE Framework
• NSW – Transport NSW DE framework
• Natspec BIM
• Digital built Britain
Digital Engineering (BIM) for Local Government Linear
Infrastructure
5DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• New LG linear infrastructure – Trunk/ Critical and
Bridges
• Project information lifecycle
• Planning, Design and holistic delivery tool
• Project completion to asset handover
• Interoperability of project information requirements into Asset
information requirements
• ie. DE As Cons, still to be developed
• Asset information requirements forms vital base for
asset management information requirements
Digital Engineering (BIM) for Infrastructure Planning
and Asset Manager
6DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• LG long-life civil infrastructure
• Huge existing asset portfolio (with key/ trunk and critical
assets)
• Varying completeness / accuracy of as-con information
• Multiple capital renewal and maintenance cycles
• Lets explore DE for ‘assets in operation’
Digital Engineering (BIM) Pilot Projects at Logan City
Council
7DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• Logan’s historic Red Bridge
• Structural repair and recoating
• Significant culvert network under business district
• Critical un-mapped trunk drainage
• Mapillary
• Computer vision/ object detection
Digital Engineering (BIM) - Red Bridge Case Study
8DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• Original construction 1930’s
• Last recoating (2000)
• Est. capital recoating project ($1m)
• Significant portion in scaffolding
• Project scope
• Drone laser scan survey
• Inspection records
• 3d interactive asset information
model
• Asset renewal requirements
• Benefit opportunity
• Provide BIM model to assist in tender
preparation
Digital Engineering (BIM) Red Bridge Lessons Learned /
Findings
9DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• Assisted to navigate through constraints
• Difficulty of using scaffolding over water
• Proximity to overhead powerlines
• Attached trunk water main
• Asset renewal requirements
• Environment impacts
• Information transfer
• Limited IFC for civil
• Geometric location of defects
• Element level monitoring enabled
Digital Engineering (BIM) Major Culverts Case Study
10DE FOR LG INFRASTRUCTURE | AUGUST 2019
• Assessments and life cycle management strategies
• Interconnected underground major culverts (1.8km)
• Under business district
• Laser scanning to provide accurate location information
• Assign condition rating
• Scope and cost works program
DE (BIM) Major Culverts Lessons Learned / Findings
11DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• Reassociating with defect image required
• Linear referencing protocols?
• Future condition assessments using computer vision/ AI
may provide accurate defect positioning
• BIM incorporation/ interface with Asset Info Systems and
GIS
DE Findings and Conclusions
12DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
Overall positive outcome
• Usable model for assessing
the assets and condition
Software Assessment
• Some more suited to LG
• Existing data can be edited
• Others task specific - good mobile solutions
• Some non-civil tools had compatibility issues
• Interoperability
• Monitoring
• GPS accuracy
• X, Y and Z
City of Logan’s – Digital Road Environment
13DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• Crowd source street-level images
• Machine Learning
• Object detection
• Signs
• Street Lights
• Pavement markings
• Defects
• Accessible, interoperable, cost effective cloud based platform
• Easy to upload images by anyone with a smartphone app or GPS
enabled camera (or 360 camera)
City of Logan’s – Digital Road Environment
14DE FOR LG INFRASTRUCTURE | AUGUST 2019
• Crowd source street-level images
• Machine Learning
• Object detection
• Signs
• Street Lights
• Pavement markings
• Defects
• K & C
• Footpath
• Carparks to be explored
• Accessible, interoperable, cost effective cloud based platform
• Easy to upload images by anyone with a smart phone app
Video and Object Detection
• 2,257 km video uploaded (4.4M images)
• Network video survey
• GPS camera / phone
15CITY OF LOGAN’S MAPILLARY | 21/08/2019 ©Logan City Council
• Total objects detected – 13.3M
• Traffic signs – 67,400
• Manhole – 6,400
• Street light / Pole – 40,700
• Defects
• Commencing with Pothole
• K & C, Footpath and Carparks to
be explored
Digital Engineering (BIM) Mapillary usecases
16DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• Supplementary to expensive network level surveys (every 2-
3 years)
• Improves accuracy and validation of asset info pick up
• Supplements
• Ascon / ADAC and aerial photography
• Computer vision / AI technology
maturing rapidly
• Capability in access reduced areas
• Waterways, Parks
• Network coverage with high refresh
rates
DE/BIM Projects in pipeline/ consideration at City of Logan
17DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• Austroads Data Standard PHS dataset Pilot
• City of Logan’s As Constructed Information Submission/ Management
Portal
• Smart Cities and Suburb Program Funded Project (DE and smart
technologies to enhance flood resilience in high risk areas)
• Pavement renewal and monitoring
• Intelligent compaction
• Geogrids and sensors
• SW pipe CCTV video portal with AI assessments (condition/handover)
• Proposed BIM As Constructed Model handover for Pacific Highway
Service Roads (in partnership with TMR)
18
Austroads Data Standard LG pilot (Towards Transport IFC)
• Austroads Data Standard for Road
Management & Investment
• LCC in Austroads PHS LG pilot
• Harmonisation assessment against
standard
• Access / Condition / Demand
• Inventory / Location referencing
• Network / Performance
• Works and cost / Utilisation
• Potential for base IFC data along with
leading work by TMR, TNSW and
VicRoads
DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
Connected DE Environment
City of Logan’s As Constructed Information Submission/ Management
Portal
19
DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
Image source helpsystems.com
• Open Data portal for existing as con
plans SW, Roads, W, WW as cons since
2017 for self download
What is it?
• A cloud based geospatial front end for
development industry for
contributed/donated assets
• As constructed and related information,
submission, validation and storage
• Guidelines for digital as constructed
information submission is being
developed
BIM in Pavement Renewal and Performance
monitoring with Intelligent Compaction
DE FOR LG INFRASTRUCTURE | AUGUST 2019
Source: SPARC Project
Logan Street- Pavement Monitoring with Sensors
21
DE FOR LG INFRASTRUCTURE | AUGUST 2019
Source: Sparc Project
Flood resilience with DE and smart technologies
22DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
• A collaborative project with QUT, River and Catchment
Engineering and Road Asset Management programs at Logan
• Implement and test the use of digital engineering and smart
technologies to improve
• asset and flood monitoring in the Slacks and Scrubby Creek
catchment by integrating
• data sources,
• asset information,
• Surrounding physical environment and
• modelling for river and creek flooding (and likely scenarios)
Deliverable 3
• BIM enabled database that provides
a holistic view of all stormwater
assets and their performance
• Ground-truth repository to link flood
modelling, prediction and asset
management
• Foundation for asset related
information for first-responders
• Base layer for general information
provided externally
Flood resilience with DE and smart technologies
DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
Deliverable 4
Tools for first-responders to gather
and valuable information on site
Provide access to actual and
predicted event data to coordinate
actions
Access to latest technology |
Augmented Reality connected to
BIM database
Ability to filter the information for
release to public
Flood resilience with DE and smart technologies
DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
DE adoption for LG on its way….
• Industry cooperation to overcome
• Initial cost justification
• Cultural shift
• Skill/ capability barrier
• Prepare for Next-gen ALCM in context such as
• Autonomous vehicles –
• V2I info exchange
• Infrastructure readiness and upgrades
• Recycling/Reuse and sharing economy
• Material, data and information re-use in Open environment
• Stormwater harvesting and shared utility tunnels
• with 3D cities and underground 3D
25DE FOR LG INFRASTRUCTURE | AUGUST 2019DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
Let's Embark LG digital engineering framework for
• management of existing critical/trunk assets;
• new internally constructed; and
• contributed assets
• With development of LG specific
• Tools,
• Platforms,
• Guidelines and
• Practice notes (IPWEA DE practice notes!!)
26DE FOR LG INFRASTRUCTURE | AUGUST 2019
Vector created by alliesinteractive
DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
Let's collaborate, learn and refine… from and for industry
e.g. Transport NSW DE framework, tools and guidelines
27DOCUMENT NAME | DATE
DE FOR LG INFRASTRUCTURE | AUGUST 2019
Let's move together from solid foundations to vibrant future
with
DE/ BIM for across infrastructure asset lifecycle
Acknowledgment : Slide deck preparation input and support
(specifically William Prentice, Matt Farmer, Jin Zhong)
Ashish Shah | ashishshah@logan.qld.gov.au |0433205395
DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council

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Digital Engineering (bim) for LG infrastructure planning and asset management at International Public Works Conference 2019 by IPWEA presentation -

  • 1. Digital Engineering for LG Roads Infrastructure Planning and Management Ashish Shah, Road Asset Management, Logan City Council
  • 2. City of Logan, Queensland, Australia 2DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • Located between Brisbane and Gold Coast • Mixture of rural and urban • 300,000 + residents • 1.9% annual growth rate • $3.3B in road and stormwater assets • 2,239km sealed roads • $13.488 billion (GRP) • $850 million annual budget
  • 3. What is BIM 3DE FOR LG INFRASTRUCTURE | AUGUST 2019 • Building (making of) information management • Building (facilities) information modelling • Building Information Management • Virtual Design and Construction • Better Information Management • Digital Engineering • Digital Twin • Digital Replica?? • Digital Environment
  • 4. Context of BIM/DE – New/ Major Project focus 4DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • ISO 19650 series • PAS 1192 series • National Digital Policy (Federal Government, Australia) • BuildingSmart Australia BIM guidelines • State government • QLD BIM Policy and TMR implementation guides • Victoria DE Framework • NSW – Transport NSW DE framework • Natspec BIM • Digital built Britain
  • 5. Digital Engineering (BIM) for Local Government Linear Infrastructure 5DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • New LG linear infrastructure – Trunk/ Critical and Bridges • Project information lifecycle • Planning, Design and holistic delivery tool • Project completion to asset handover • Interoperability of project information requirements into Asset information requirements • ie. DE As Cons, still to be developed • Asset information requirements forms vital base for asset management information requirements
  • 6. Digital Engineering (BIM) for Infrastructure Planning and Asset Manager 6DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • LG long-life civil infrastructure • Huge existing asset portfolio (with key/ trunk and critical assets) • Varying completeness / accuracy of as-con information • Multiple capital renewal and maintenance cycles • Lets explore DE for ‘assets in operation’
  • 7. Digital Engineering (BIM) Pilot Projects at Logan City Council 7DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • Logan’s historic Red Bridge • Structural repair and recoating • Significant culvert network under business district • Critical un-mapped trunk drainage • Mapillary • Computer vision/ object detection
  • 8. Digital Engineering (BIM) - Red Bridge Case Study 8DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • Original construction 1930’s • Last recoating (2000) • Est. capital recoating project ($1m) • Significant portion in scaffolding • Project scope • Drone laser scan survey • Inspection records • 3d interactive asset information model • Asset renewal requirements • Benefit opportunity • Provide BIM model to assist in tender preparation
  • 9. Digital Engineering (BIM) Red Bridge Lessons Learned / Findings 9DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • Assisted to navigate through constraints • Difficulty of using scaffolding over water • Proximity to overhead powerlines • Attached trunk water main • Asset renewal requirements • Environment impacts • Information transfer • Limited IFC for civil • Geometric location of defects • Element level monitoring enabled
  • 10. Digital Engineering (BIM) Major Culverts Case Study 10DE FOR LG INFRASTRUCTURE | AUGUST 2019 • Assessments and life cycle management strategies • Interconnected underground major culverts (1.8km) • Under business district • Laser scanning to provide accurate location information • Assign condition rating • Scope and cost works program
  • 11. DE (BIM) Major Culverts Lessons Learned / Findings 11DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • Reassociating with defect image required • Linear referencing protocols? • Future condition assessments using computer vision/ AI may provide accurate defect positioning • BIM incorporation/ interface with Asset Info Systems and GIS
  • 12. DE Findings and Conclusions 12DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council Overall positive outcome • Usable model for assessing the assets and condition Software Assessment • Some more suited to LG • Existing data can be edited • Others task specific - good mobile solutions • Some non-civil tools had compatibility issues • Interoperability • Monitoring • GPS accuracy • X, Y and Z
  • 13. City of Logan’s – Digital Road Environment 13DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • Crowd source street-level images • Machine Learning • Object detection • Signs • Street Lights • Pavement markings • Defects • Accessible, interoperable, cost effective cloud based platform • Easy to upload images by anyone with a smartphone app or GPS enabled camera (or 360 camera)
  • 14. City of Logan’s – Digital Road Environment 14DE FOR LG INFRASTRUCTURE | AUGUST 2019 • Crowd source street-level images • Machine Learning • Object detection • Signs • Street Lights • Pavement markings • Defects • K & C • Footpath • Carparks to be explored • Accessible, interoperable, cost effective cloud based platform • Easy to upload images by anyone with a smart phone app
  • 15. Video and Object Detection • 2,257 km video uploaded (4.4M images) • Network video survey • GPS camera / phone 15CITY OF LOGAN’S MAPILLARY | 21/08/2019 ©Logan City Council • Total objects detected – 13.3M • Traffic signs – 67,400 • Manhole – 6,400 • Street light / Pole – 40,700 • Defects • Commencing with Pothole • K & C, Footpath and Carparks to be explored
  • 16. Digital Engineering (BIM) Mapillary usecases 16DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • Supplementary to expensive network level surveys (every 2- 3 years) • Improves accuracy and validation of asset info pick up • Supplements • Ascon / ADAC and aerial photography • Computer vision / AI technology maturing rapidly • Capability in access reduced areas • Waterways, Parks • Network coverage with high refresh rates
  • 17. DE/BIM Projects in pipeline/ consideration at City of Logan 17DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • Austroads Data Standard PHS dataset Pilot • City of Logan’s As Constructed Information Submission/ Management Portal • Smart Cities and Suburb Program Funded Project (DE and smart technologies to enhance flood resilience in high risk areas) • Pavement renewal and monitoring • Intelligent compaction • Geogrids and sensors • SW pipe CCTV video portal with AI assessments (condition/handover) • Proposed BIM As Constructed Model handover for Pacific Highway Service Roads (in partnership with TMR)
  • 18. 18 Austroads Data Standard LG pilot (Towards Transport IFC) • Austroads Data Standard for Road Management & Investment • LCC in Austroads PHS LG pilot • Harmonisation assessment against standard • Access / Condition / Demand • Inventory / Location referencing • Network / Performance • Works and cost / Utilisation • Potential for base IFC data along with leading work by TMR, TNSW and VicRoads DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
  • 19. Connected DE Environment City of Logan’s As Constructed Information Submission/ Management Portal 19 DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council Image source helpsystems.com • Open Data portal for existing as con plans SW, Roads, W, WW as cons since 2017 for self download What is it? • A cloud based geospatial front end for development industry for contributed/donated assets • As constructed and related information, submission, validation and storage • Guidelines for digital as constructed information submission is being developed
  • 20. BIM in Pavement Renewal and Performance monitoring with Intelligent Compaction DE FOR LG INFRASTRUCTURE | AUGUST 2019 Source: SPARC Project
  • 21. Logan Street- Pavement Monitoring with Sensors 21 DE FOR LG INFRASTRUCTURE | AUGUST 2019 Source: Sparc Project
  • 22. Flood resilience with DE and smart technologies 22DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council • A collaborative project with QUT, River and Catchment Engineering and Road Asset Management programs at Logan • Implement and test the use of digital engineering and smart technologies to improve • asset and flood monitoring in the Slacks and Scrubby Creek catchment by integrating • data sources, • asset information, • Surrounding physical environment and • modelling for river and creek flooding (and likely scenarios)
  • 23. Deliverable 3 • BIM enabled database that provides a holistic view of all stormwater assets and their performance • Ground-truth repository to link flood modelling, prediction and asset management • Foundation for asset related information for first-responders • Base layer for general information provided externally Flood resilience with DE and smart technologies DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
  • 24. Deliverable 4 Tools for first-responders to gather and valuable information on site Provide access to actual and predicted event data to coordinate actions Access to latest technology | Augmented Reality connected to BIM database Ability to filter the information for release to public Flood resilience with DE and smart technologies DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
  • 25. DE adoption for LG on its way…. • Industry cooperation to overcome • Initial cost justification • Cultural shift • Skill/ capability barrier • Prepare for Next-gen ALCM in context such as • Autonomous vehicles – • V2I info exchange • Infrastructure readiness and upgrades • Recycling/Reuse and sharing economy • Material, data and information re-use in Open environment • Stormwater harvesting and shared utility tunnels • with 3D cities and underground 3D 25DE FOR LG INFRASTRUCTURE | AUGUST 2019DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
  • 26. Let's Embark LG digital engineering framework for • management of existing critical/trunk assets; • new internally constructed; and • contributed assets • With development of LG specific • Tools, • Platforms, • Guidelines and • Practice notes (IPWEA DE practice notes!!) 26DE FOR LG INFRASTRUCTURE | AUGUST 2019 Vector created by alliesinteractive DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council
  • 27. Let's collaborate, learn and refine… from and for industry e.g. Transport NSW DE framework, tools and guidelines 27DOCUMENT NAME | DATE
  • 28. DE FOR LG INFRASTRUCTURE | AUGUST 2019 Let's move together from solid foundations to vibrant future with DE/ BIM for across infrastructure asset lifecycle Acknowledgment : Slide deck preparation input and support (specifically William Prentice, Matt Farmer, Jin Zhong) Ashish Shah | ashishshah@logan.qld.gov.au |0433205395 DE FOR LG INFRASTRUCTURE | AUGUST 2019 ©Logan City Council

Editor's Notes

  1. Where: Between Brisbane and Gold Coast
  2. Background: Source of images: TBA
  3. Background: Majority of this guidelines/standards/policies are targeted towards NEW major capital projects and asset information lifecycle aspects of these New projects BIM / ISO19650 project centric model Lifecycle for new construction - planning, design, construction and disposal It assumes project owner / asset owner is a direct instigator (or part of same organisation) Source of images: TBA
  4. Background: Limited DE context for data, systems, technology, processes for existing infrastructure FM - Mechanical, Electrical and Plumbing (BIM-MEPAUS) mature system Civil BIM/ IFC in infancy Trail DE processes on ‘Asset in Operations’ Significant opportunity to improve existing AM processes/systems through BIM identified; however, the level of awareness to this is still in its infancy; Maintenance and renewal/ upgrades Sharing of tools and lessons learned Source of images: TBA
  5. Background: Limited DE context for data, systems, technology, processes for existing infrastructure FM - Mechanical, Electrical and Plumbing (BIM-MEPAUS) mature system Civil BIM/ IFC in infancy Trail DE processes on ‘Asset in Operations’ Significant opportunity to improve existing AM processes/systems through BIM identified; however, the level of awareness to this is still in its infancy; Maintenance and renewal/ upgrades Sharing of tools and lessons learned Source of images: TBA
  6. Background: Red Bridge 1930’s steel truss bridge; Last coasting [date] Look at BIM as opportunity to invite innovation in coating tenders Culvert Network Critical stormwater network impacting commercial area; Structural and flooding risk Box/ pipe culvert mixture Mapillary Image detection via Computer Vision/ machine learning; Street view imagery – detect asset type and depth Opportunities: In lieu of as-cons a requirement to understand and manage asset through lifecycle; Source of images: TBA
  7. Background: Successful trial use of BIM technology on the Red Bridge (Beenleigh) refurbishment project; Laser scanning and imagery via drove technology Opportunities for improvement: Development and delivery of BIM training programs; Designed specifically to equip Council officers with the appropriate knowledge on how to leverage BIM technologies in the management of typical existing local government-owned bridges and culverts; Benefits: More efficient infrastructure management resulting in assets with lower lifecycle costs; Reduced project risks through early identification of conflicts with services, construction issues and maintenance requirements; Quality data to support Council’s decision-making on asset development and renewals; Source of images: TBA
  8. Background: Successful trial use of BIM technology on the Red Bridge (Beenleigh) refurbishment project; Significant opportunity to improve existing AM processes/systems through BIM identified; however, the level of awareness to this is still in its infancy; Opportunities for improvement: Development and delivery of BIM training programs; Designed specifically to equip Council officers with the appropriate knowledge on how to leverage BIM technologies in the management of typical existing local government-owned bridges and culverts; Benefits: More efficient infrastructure management resulting in assets with lower lifecycle costs; Better information sharing on assets within and (ultimately) outside Council; Reduced project risks through early identification of conflicts with services, construction issues and maintenance requirements; Quality data to support Council’s decision-making on asset development and renewals; Source of images: https://www.scottdmiller.com/clinical-practice-guidelines-beneficial-development-or-bad-therapy/ DM#12252839
  9. Background: Multiple cell box/ pipe culvert beneath business centre Laser scan and defect capture of network Opportunities for improvement: Limited BIM process outputs for defect capture (delivered in tabular format); Designed specifically to equip Council officers with the appropriate knowledge on how to leverage BIM technologies in the management of typical existing local government-owned bridges and culverts; Benefits: BIM model meets infrastructure and modelling needs – flooding, renewals; Better information sharing on assets within (river catchment/ RCM) and outside Council; Reduced project risks through early identification of conflicts with services, construction issues and maintenance requirements; Quality data to support Council’s decision-making on asset development and renewals; Source of images: https://www.scottdmiller.com/clinical-practice-guidelines-beneficial-development-or-bad-therapy/ DM#12252839
  10. Background: Geometric location of defects in 3D model; Significant opportunity to improve existing AM processes/systems through BIM identified; however, the level of awareness to this is still in its infancy; Opportunities: Pipe Ai – Defect detection using computer vision artificial intelligent tools Deliver accurate underground 3D model for future maintenance/ rehab works Benefits: Quality data to support Council’s decision-making on asset development and renewals; Source of images: LCC
  11. Background: Opportunities for improvement: Benefits: Source of images:
  12. Background: Existing ‘assets in operation’ Automate asset capture/ object detection via computer vision supported AI; Opportunities for improvement: Continuous image capture; Support multiple camera types (phone, 360-degree etc) Reduced cost of network surveys; Supplements network level surveys (often done at 3 year intervals) Benefits: Reduced cost in infrastructure capture; Community support in asset/ condition/ geometry/ location; Reduction in reliance of proprietary video viewing software; Open up previously inaccessible areas (Waterways, Parks) Source of images: http://www.mapillary.com/
  13. Background: Existing ‘assets in operation’ Automate asset capture/ object detection via computer vision supported AI; Opportunities for improvement: Continuous image capture; Support multiple camera types (phone, 360-degree etc) Reduced cost of network surveys; Supplements network level surveys (often done at 3 year intervals) Benefits: Reduced cost in infrastructure capture; Community support in asset/ condition/ geometry/ location; Reduction in reliance of proprietary video viewing software; Open up previously inaccessible areas (Waterways, Parks) Source of images: http://www.mapillary.com/
  14. Background: Opportunities for improvement: Increased spatial accuracy Line features for linear assets Crowd source capture reduces need for technical capabilities Benefits: Source of images:
  15. Issue description: Council receives hundreds of development applications each year; Information received come in various formats and are still currently being manually processed; Document management can be a daunting process as it involves multiple transactions and validations; Risks of data being lost, corrupt or invalid. Proposed solution(s): The need for scoping and design of an asset information management and validation system for Council’s contributed/donated assets; Envisaged end result? A cloud-based “smart” portal to streamline the construction document management process; Easier lodgement of “As-Constructed Information Pack”; Easier access to the information uploaded to the cloud-based system for various internal stakeholders within Council (e.g. SMEs from various Branches/Programs); Built-in intelligence to facilitate verification and validation checks on information uploaded; Ability to review, monitor and follow-up any outstanding deliverables; Overall increased integrity to Council’s asset recognition process. Benefit(s): Timely and more efficient delivery of infrastructure to the fast-growing Logan community; Source of images: https://www.helpsystems.com/resources/articles/physical-virtual-cloud https://proddrupalcontent.construction.com/s3fs-public/product-benifit-media/planroom_SC_01.jpg
  16. Background: Opportunities for improvement: DE standard for existing ‘in-use’ infrastructure Standardised information standard across LG improves quality of developer as-con submissions Benefits: Source of images:
  17. Issue description: Council receives hundreds of development applications each year; Information received come in various formats and are still currently being manually processed; Document management can be a daunting process as it involves multiple transactions and validations; Risks of data being lost, corrupt or invalid. Proposed solution(s): The need for scoping and design of an asset information management and validation system for Council’s contributed/donated assets; Envisaged end result? A cloud-based “smart” portal to streamline the construction document management process; Easier lodgement of “As-Constructed Information Pack”; Easier access to the information uploaded to the cloud-based system for various internal stakeholders within Council (e.g. SMEs from various Branches/Programs); Built-in intelligence to facilitate verification and validation checks on information uploaded; Ability to review, monitor and follow-up any outstanding deliverables; Overall increased integrity to Council’s asset recognition process. Benefit(s): Timely and more efficient delivery of infrastructure to the fast-growing Logan community; Source of images: https://www.helpsystems.com/resources/articles/physical-virtual-cloud https://proddrupalcontent.construction.com/s3fs-public/product-benifit-media/planroom_SC_01.jpg
  18. Intelligent compaction and paver‐mounted thermal profiling data are captured live and uploading the cloud and the project managers/engineers can access near live data anywhere in the world. With such a huge amount of data feed into the system, a software is employed to manage, analyses, visualise the data.
  19. Logan St rehabilitation project will be turned into a large scale research orientated project with more than 60 sensors installed in the pavement monitoring a wide range of information such as strain and stress, moisture, temperature, earth pressure, settlement levels etc. A weather station will also be installed to capture the ambient environment information. All the data can be access via the telecommunication network by dialling into the server.
  20. Issue description: Council receives hundreds of development applications each year; Information received come in various formats and are still currently being manually processed; Document management can be a daunting process as it involves multiple transactions and validations; Risks of data being lost, corrupt or invalid. Proposed solution(s): The need for scoping and design of an asset information management and validation system for Council’s contributed/donated assets; Envisaged end result? A cloud-based “smart” portal to streamline the construction document management process; Easier lodgement of “As-Constructed Information Pack”; Easier access to the information uploaded to the cloud-based system for various internal stakeholders within Council (e.g. SMEs from various Branches/Programs); Built-in intelligence to facilitate verification and validation checks on information uploaded; Ability to review, monitor and follow-up any outstanding deliverables; Overall increased integrity to Council’s asset recognition process. Benefit(s): Timely and more efficient delivery of infrastructure to the fast-growing Logan community; Source of images: https://www.helpsystems.com/resources/articles/physical-virtual-cloud https://proddrupalcontent.construction.com/s3fs-public/product-benifit-media/planroom_SC_01.jpg
  21. We need……
  22. Background: Opportunity: Austroads Data Standards v3.0 gap analysis and LG specific data needs Benefits: