This is a snapshot of the amazing work we are conducting to develop smart infrastructure monitoring systems

1. Data-Driven Monitoring in Safety Critical
Infrastructure
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Jinane Harmouche, Postdoctoral Fellow
Nicholas Charron, PhD Candidate
Sriram Narasimhan, Professor and Research Chair in Smart Infrastructure
University of Waterloo
Department of Civil and Environmental Engineering
Structural Dynamics, Identification and Control Group

2. Smart Infrastructure and Industrial Systems
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Infrastructure
ServiceReactive
actions
Incidents
Non-smart
Non-smart, where the decision making process is Subjective, Reactive, Human-dependent, Unsystematic
Economical losses, Human losses, Safety risks

3. Smart Infrastructure and Industrial Systems
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Smart = self-sensing, self-diagnosis, self-management abilities
Smart is Efficient, Independent, Objective, Proactive
Durable, Sustainable, Safe, Reliable, Rentable
Infrastructure
ServiceProactive
actions
Data Acquisition, Transmission
Analysis & Interpretation
Information

4. Smart Infrastructure and Industrial Systems
4
Infrastructure
Service
Proactive
actions
Data Acquisition, Transmission
Analysis & Interpretation
Information
Leveraging the rapid progress of technologies
in
• Sensing
• Robotics
• Communication
• Data mining
• Computing
Smart = self-sensing, self-diagnosis, self-management abilities

5. • Continuous real-time monitoring
• Detection and isolation of faults/anomalies at their incipient stage : Diagnostics
• Prediction of the remaining useful life : Prognostic and Reliability
• Achieving Autonomy
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Actualizing smart

6. Bridges monitoring
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• Terrestrial Laser Scanner (TLS)  Acquisition of dense 3D
point clouds of object surfaces  Processing  Defect
localization
• Unmanned aircraft vehicles for image collection  Generation of 3D
model  Defect localization
• Visual localization and quantification of defects
on a periodic basis

7. • Unmanned ground vehicle (UGV) platform
rapidly generating high quality data which can be used for automated defect detection and quantification
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• Self-positioning ability
• Simultaneous Localization and Mapping ability
• Scalable to accommodate large and various structures
• Host of several sensor types,
• Real-time capabilities, visualization tools
New UGV aided bridges monitoring platform

8. Sensing water distribution networks
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9. 9
Preventing bursts by monitoring for small leaks

10. • It is necessary to implement continuous monitoring processes
• Typical benefits of proactive maintenance include improving uptime, asset longevity, safety and
reducing maintenance cost
• Advanced data analytics provide the basis for proactive capabilities
• Industrial and government organizations should increase adoption of condition monitoring and
prediction solutions
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Concluding remarks