Our Asset Management Journey

Professor Sujeeva Setunge Deputy Dean, Research and Innovation School of Engineering

1 RMIT Journey in Infrastructure Asset Management

• Central Asset Management System (CAMS) for Buildings • CAMS-Drainage • Disaster resilience of bridges, culverts and floodways • CAMS-Bridges • Automated Tree inventory using airborne LiDar and Aerial imagery • Intelligent Asset Management in Community Partnership – A smart cities project • Future cities CRC – New!!

2 CAMS for Buildings CAMS Mobile

• Australian Research council grant in partnership with – MAV – City of Glen Eira – City of Kingston – City of greater Dandenong – Mornington Peninsula shire – City of Monash – City of Brimbank

• State government grant to develop the cloud hosted platform • City of Melbourne investment to develop practical features such as backlog, scenario analysis, risk profile • RMIT University property services and City of Melbourne – CAMS Mobile inspection app

3 CAMS for Buildings - Features

1. Database management 2. Data exploration 3. Deterioration prediction 4. Budget calculation 5. Backlog estimation 6. Risk management

4 4

Property Services Australia | Vietnam

5 CAMS TECHNOLOGY - Buildings

Current Capability Research In Progress Next stage

 Data Driven Models for Multi-objective . Cross assets CAMS 700 components Decision Making . Augmented  Cost and other input Life-Cycle  Physical degradation Reality  Scenarios Analysis Modelling modelling – improve . Emergency  Risk-cost Relationship accuracy manageme  Cost for defects, nt Cloud-based Database intermediate conditions, works order, optimised  Visual Inspection repair  Level of service for  Inspection progress CAMS Decision Making  RFIDs for asset  Energy Retrofitting tracking Mobile  Previous Data  iOT integration Smart Cities  Plans / Photos / Defects  Compliance Auditing $871,000 / Asbestos etc.  BIM Integration Kingston,  Utilisation/Level of Brimbank, Port RMIT - $260,000 service/User Phillip+Hendry Feedback Group Hendry Group + City  Automated mapping of Melbourne Awards – During research stage

Engineers Australia, Asset Management Council Postgraduate Research Awards

7 CAMS Awards Received by end users after implementation

2017 Australian Financial review, 2017 Facilities Innovation Award Facilities Management Australia 40 year Life Cycle Excellence Award – RMIT Property Services

8 CAMS for Drainage

• Funded by a consortium of partners – MAV – City of Whittlesea – City of greater Dandenong – City of Port Phillip – City of Darebin – City of Monash – City of Brimbank – Melbourne Water

• Australian research council grant with Melbourne Water and City of Greater Dandenong • RMIT University seed funding for developing the cloud hosted platform

9 Asset management framework

• IDENTIFY CRITICAL PIPES Step 1 • Based on consequence of unexpected failure

• CONDUCT CCTV INSPECTION Step 2 • Random sampling of (at least) 600 pipes

• CONDUCT RISK ANALYSIS Step 3 • Probability of failure, Remaining life, Influential factors

• MANAGE RISK Step 4 • Inspection time, Annual Maintenance Budget

10 CAMS DRAINAGE demonstration

11 MARKOV STRUCTURAL DETERIORATION

FINDING •AVERAGE OF AGE (sample) = 60 YEARS •Left figure shows predictive deterioration of network of concrete pipes which is calibrated using samples of CCTV data (summarized in right figure) •If average age of pipe network is taken as 60 years as of 2010, then from left figure, there are 60% of pipe network is in condition 1, 15% in condition 2, 6% in condition 3, 3% in condition 4 and 16% in condition 5. •Percentage of pipe network in each condition states can be predicted in the future years.

12 GEC – BUDGET DEMO

13 CAMS for Drainage - Moving forward

Local Government Amendment (Performance Reporting and Accountability) Act 2014 requires a Council to report against prescribed performance indicators in the report of operations and performance statement in the Council's annual report.

 Identify performance indicators (e.g. number of flooding, blockages and collapse, percentage of pipes in poor conditions 4 and 5)  How to improve performance indicators over time

Inspection and repair manual for stormwater pipes

 Identify and optimize inspection schedule for new pipes and inspected pipes  Repair manual for each type of defects such as cracking, corrosion and displacement and open joints.  How to risk-cost optimize repair actions

14 Disaster resilience of bridges, culverts and floodways

• Funded by CRC for Bush fire and Natural Hazards – MAV – Lockyer Valley Regional Council – Queensland Transport and Main Roads – VicRoads – Road and Maritime Services NSW

• Vulnerability Modelling of Road structures under flood, bush fire and earthquakes • GIS map of road structures with vulnerability rating

15 Bridges under flood loading

16 Bush Fire resilience

0.134m/s spread rate

HRR/m(kW/m) Intensity 0-350 Low 350-3500 Medium 3500-35000 High 35000 and above Extreme

17 17 Multiple Earthquake impact

• Damage due to multiple earthquake impacts • Reliability based damage accumulation framework for bridges due to multiple earthquake impacts

18 WAY FORWARD – GIS INTEGRATION 1% AEP Flood

• Austroads bridge design code introduced 1 in 2000 year flood design for bridges • Constructed bridges pre-1992 were mostly designed for 1 in 100 year ARI (Bennett et al. 2009)

19 CAMS for Bridges – RMIT, VicRoads and ARC

Level 2 Inspection Data of Bridge Components (12-16) (e.g. Deck 8C; Girder 2C)

Input Data collection from RAS  Data filtering and processing

Significant Contributing Factors (6-14) (e.g. Built-year, Exposure Class, Traffic Volume)

Markov’s Deterioration Model Model

Output Predicted Conditions/Probability Vector (e.g. Conditions of the components in next 5, 10, 20 years) 20 20 Compare deterioration curves 8C

No Factors, i.e. All components are the same.

Metro South East Metro North West

21 21 Output

Remaining Conditions and Maintenance Budgeting

Age C3 %Remain C4 %Remain Age Budget Surplus Budget Need 3,4 Budget Supply Yr+1 5.82 4.23 Yr+1 0 165 30 Yr+2 5.82 3.17 Yr+2 0 145 30 Yr+3 5.82 2.12 Yr+3 0 125 30 Yr+4 5.82 1.06 Yr+4 0 105 30 Yr+5 5.82 0.00 Yr+5 0 85 30 22 22 23 Automated council tree inventory using airborne LiDAR and aerial imagery

Develop a new technology and software tool for cost-effective inventory of council tree infrastructure using airborne LiDAR.

Project Partners • Royal Melbourne Institute Of Technology • Brimbank City Council • Nilumbik Shire Council • Warrnambool City Council • Whittlesea City Council • Shire Of Campaspe • Hobsons Bay City Council • BAYSIDE City Council • Melbourne Water

24 LiDAR Remote Sensing of Urban Environment LiDAR System

Tree information retrieved from LiDAR data

Tree top Canopy

Height 3D view of LiDAR point cloud

Tree location

25 Automatically captured trees from LiDAR shown as grey clusters overlaid on Google image. Each grey cluster is a tree. The outline of the cluster is the edge of tree crown

Data from Warrnambool Council. Over thousand trees captured in less than 30 minutes.

Results are 99% correct.

Include all council trees and trees in residential garden

Similar quality results achieved from Brimbank Council data

26 Sustainable planting of trees in suburban environments on Shrinkable Clays  Evaluate the influence of selected tree species on rates of soil water uptake in a suburban environment;  Provide local government councils a rational suburban tree planting management plan;  Provide civil engineering profession with new guidelines and rational design models to reduce the risk of accommodating trees in an urban environment, leading to an increased acceptance of trees within communities living on problem clay sites.

City of Knox

27 Intelligent Asset Management in Community Partnership

• Smart cities project – MAV – City of Kingston – City of Brimbank – City of Port Phillip – Hendry Group

• Three smart precincts are developed integrating internet of things and sensor technologies to optimise – Energy – Environment – Utilisation – Just in time maintenance

28 Smart cities project – iOT for interactive city management Three smart precincts in progress Opportunities for collaboration

• Feel free to contact us to join any of the current initiatives. We will find a way to engage you and share the benefit • CAMS for buildings, bridges and drainage • Engage us to explore any new challenges • Workshop on Vulnerable road structures 6 July 10- 1 pm at RMIT • Engage our students for work experience/internships Future Cities CRC

• RMIT is forming a consortium for a new bid in preparation for government funding • MAV is forming a local council consortium for focus areas of – Liveability, sustainability, healthy communities – Consistent approach for managing community assets by local, state and federal governments – Community led decision making 33