15.10.3. Deployment Workflow

1. Pre-deployment Simulation: Digital modeling of inspection path using BIM/LiDAR data.

Before any actual inspection begins, a pre-deployment simulation is carried out. This process involves creating a digital model of the expected inspection path using Building Information Modeling (BIM) or LiDAR data. BIM is a digital representation of the physical and functional characteristics of a facility, while LiDAR is a technology that measures distances using laser light. This step is crucial to visualize the area and plan the inspection route effectively, ensuring that all necessary locations are covered without missing any critical areas.

Think of pre-deployment simulation like planning a road trip using a GPS. Just as you would input your starting point and destination to find the best route, inspectors use digital modeling to determine the most efficient path for examining a structure, avoiding obstacles and ensuring thoroughness.

2. Installation of Markers or Beacons (if needed): For GPS-denied environments such as tunnels.

In environments where GPS signals are weak or non-existent, such as tunnels or dense urban areas, markers or beacons may need to be installed prior to the inspection. These markers act like guideposts for the robotic systems, helping them navigate accurately. They ensure that the system knows its location, which is vital for performing precise inspections and collecting data about the structural conditions.

This is similar to using landmarks when you're exploring a new city without a map. Just as you might remember to look for a specific statue or building to know you're headed in the right direction, robots rely on markers in GPS-denied areas to find their way.

3. Autonomous or Semi-Autonomous Navigation: Real-time obstacle avoidance and path reconfiguration.

Once deployed, the inspection robots operate with either full autonomy or semi-autonomy, meaning they can navigate the inspection area on their own, or they may require some manual guidance. These robots are equipped with sensors that detect obstacles and can reroute their paths in real-time if they encounter any unexpected barriers. This functionality is critical as it allows for continuous inspection without interruptions, adapting to changing conditions on the fly.

Imagine driving a car where you have a smart GPS that not only guides you to your destination but also recalculates the route if it spots a traffic jam or an accident ahead. This is exactly what these robots do during structure inspections—they adjust their paths automatically for the best results.

4. Data Logging: Timestamped, geotagged data collection integrated with inspection logs.

During the inspection, the robots collect a wealth of data about the structures being examined, which includes images, measurements, and other relevant information. All this data is timestamped and geotagged, which means it is associated with specific times and locations. This logging is crucial for maintaining a detailed record of the inspection process, enabling engineers to track changes over time and assess the condition of the structure accurately.

Consider this process similar to taking notes during a class lecture. Just as you would jot down the date, subject, and important points, the robots log their findings with exact timing and location, ensuring that a comprehensive record is available for future reference.

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