Robotic Dog Deployed for Dam Inspections

A new robotic system is now navigating the intricate galleries within dam infrastructure, capturing images to enhance surveillance and maintenance.

Sacyr Maintenance has started deploying a robotic quadruped to inspect the extensive, kilometer-long galleries deep inside dams. These critical hydraulic structures often have thick concrete walls, which severely restrict external connectivity and make traditional inspections challenging. An autonomous robot, therefore, offers an ideal solution. This advanced machine assists professionals with routine checks and can identify potential hazards like dangerous gases or excessive moisture before they become critical.

The Duero Hydrographic Confederation originally proposed this autonomous robotic inspection project. They specifically suggested deploying the quadruped at the Pontón Alto dam, situated between Segovia and La Granja.

This system significantly enhances both inspector health and safety, alongside boosting operational efficiency by allowing for more frequent inspections.
Jose Luis Barragán, COEX Dam Manager for Zone F of the Duero Hydrographic Confederation (where Sacyr Maintenance operates), explains: "The galleries the robot explores contain vital components such as water supply valves and sluice gates. While existing sensors monitor parameters like pressure, flow, and displacement, our goal is for the robot to photograph specific, predetermined points."


 

 
 

"These different gallery levels are connected by stairways, enabling UGV (Unmanned Ground Vehicle) robots to move freely between them for thorough inspections. This represents our first time incorporating such advanced technology into dam conservation," Barragán adds.
 

 

 
 

 

The challenge is in the location 

 

The immediate challenge lies in implementing an effective robot localization system, particularly since GPS signals are unreliable deep inside the dam. To overcome this, Sacyr Maintenance is exploring solutions like creating a detailed 3D map or developing a digital twin of the galleries.

"In the future, the robot could be trained to do more than just capture images. It could also extract and analyze data, proactively preventing issues like cracks, moisture ingress, and excessive seepage," the expert suggests.

Initial navigation tests have already been successfully conducted, with ongoing development planned for the coming months.

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