29. Automated Infrastructure Inspection After Disasters
The chapter discusses the critical role of automated infrastructure inspection using robotics and automation technologies in post-disaster scenarios. Emphasizing the limitations of manual inspections, it highlights the advantages of employing UAVs, ground robots, and AI for efficient assessment. It also outlines various applications, challenges, and future trends in automated inspections and their integration with structural health monitoring systems.
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What we have learnt
- Automated inspection significantly enhances the speed and safety of post-disaster evaluations compared to traditional methods.
- Robotics offers versatile solutions including UAVs, ground robots, and climbing mechanisms to inspect diverse types of infrastructure.
- Data from automated inspections can be integrated with existing structural health monitoring systems to improve ongoing assessments and maintenance plans.
Key Concepts
- -- UAVs (Unmanned Aerial Vehicles)
- Drones equipped with cameras and sensors that are used for aerial mapping, inspections, and monitoring hard-to-reach areas.
- -- AIDriven Autonomy
- The incorporation of artificial intelligence to enable robots to perform inspections and data analysis with minimal human intervention.
- -- Structural Health Monitoring (SHM)
- A system that employs sensors embedded within structures to continuously monitor their condition, providing data that can cross-verify results from robotic inspections.
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