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Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices
D M G Preethichandra1, T G Suntharavadivel1, Pushpitha Kalutara1
1School of Engineering and Technology, Central Queensland University, Rockhampton, QLD 4702, Australia.
Sensors (Basel, Switzerland)
|October 14, 2023
Summary
Smart sensors and networked systems revolutionize Structural Health Monitoring (SHM) and asset management. This review covers sensor principles, AI digital twins for SHM, and proposes a new asset management framework.
Area of Science:
- Engineering
- Computer Science
- Materials Science
Background:
- Networked and smart sensors are transforming Structural Health Monitoring (SHM).
- Real-time data from sensors provide accurate structural status assessments.
- This enables requirement-based maintenance and repair scheduling.
Purpose of the Study:
- To review sensor working principles in SHM.
- To explore artificial intelligence (AI)-based digital twin systems for SHM.
- To propose an advanced asset management framework.
Main Methods:
- Literature review of sensor technologies for SHM.
- Analysis of AI applications in digital twin systems for structural monitoring.
- Framework development for integrated asset management.
Main Results:
- Comprehensive overview of sensor functionalities in SHM.
- Insights into AI-driven digital twin capabilities for real-time structural analysis.
- A proposed framework enhancing asset management strategies.
Conclusions:
- Sensor networks and AI digital twins significantly advance SHM.
- The proposed framework offers a holistic approach to asset management.
- This work benefits both researchers and industry practitioners.
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