17. Structural Health Monitoring Using Automation
Structural Health Monitoring (SHM) is essential for assessing the integrity of civil structures, enhanced by automation technologies such as robotics and data analytics. The integration of sensors and automated systems enables real-time monitoring, improving safety and maintenance efficiency. Key components include various sensor types and advanced data processing techniques that together facilitate proactive maintenance and decision-making.
Enroll to start learning
You've not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Structural Health Monitoring (SHM) is critical for detecting and managing damage in civil infrastructure.
- Automation technologies, including robotics and AI, significantly enhance SHM systems.
- Multiple standards and protocols guide the implementation of SHM systems using automation.
Key Concepts
- -- Structural Health Monitoring (SHM)
- The process of implementing a damage detection strategy for infrastructure through continuous observation and data collection.
- -- Sensors
- Devices that collect real-time data on the structural health of infrastructure, including strain gauges, accelerometers, and fiber-optic sensors.
- -- Automation
- The use of technology to perform tasks without human intervention, particularly in monitoring and data analysis in SHM.
- -- Wireless Sensor Networks (WSNs)
- Composed of spatially distributed sensors that monitor environmental conditions without the need for wired installations.
- -- CyberPhysical Systems (CPS)
- Integrates computational resources with physical systems for real-time monitoring and control.
Additional Learning Materials
Supplementary resources to enhance your learning experience.