15. Automated Inspection and Maintenance of Structures
Advancements in robotics and automation are transforming the inspection and maintenance of civil structures, making them safer and more efficient. Automated systems leverage various technologies, such as sensors and artificial intelligence, to enhance accuracy, reduce costs, and ensure timely maintenance. The integration of these systems in civil engineering practices is accompanied by challenges and future trends that aim to improve monitoring capabilities significantly.
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What we have learnt
- Automated inspection and maintenance enhance safety, accuracy, and efficiency in evaluating civil structures.
- Robotic systems like drones, ground-based robots, and underwater robots are key technologies used for inspections.
- AI and machine learning can predict maintenance needs and automate defect detection.
Key Concepts
- -- Automated Inspection
- The use of technology, including robotics and AI, to perform evaluations of structures without human intervention.
- -- Structural Health Monitoring (SHM)
- The use of various sensors to monitor the condition of structures in real-time, assessing factors like strain, corrosion, and general integrity.
- -- Digital Twin
- A virtual representation of a physical structure, created using data from various sensors to simulate its behavior in real-time.
- -- Predictive Maintenance
- An approach that uses data analysis tools and techniques to identify trends and conditions that may predict failures before they occur.
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