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Reading: Beam Deploys AI-Driven Underwater Vehicle for Wind Farm Inspections
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Beam Deploys AI-Driven Underwater Vehicle for Wind Farm Inspections

Highlights

  • Beam launches AI underwater vehicle for wind farm inspections.

  • Technology reduces inspection time by half and cuts costs.

  • Future plans include expanding autonomous solutions fleet-wide.

Ethan Moreno
Last updated: 24 September, 2024 - 12:37 pm 12:37 pm
Ethan Moreno 8 months ago
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Beam has pioneered the deployment of an AI-powered autonomous underwater vehicle tailored for offshore wind farm inspections. This innovative technology not only signifies a milestone in underwater robotics but also integrates advanced data streaming capabilities. By leveraging artificial intelligence, Beam aims to streamline maintenance processes and enhance the reliability of offshore wind infrastructure. The deployment at Seagreen wind farm marks the beginning of a new era in marine inspection technologies.

Contents
How Does the AI Vehicle Enhance Inspection Efficiency?What Impact Does This Technology Have on Data Quality?What Are Beam’s Future Plans for Autonomous Technology?

Previous inspection methods relied heavily on manual, labor-intensive techniques that were time-consuming and costly. Beam’s new approach introduces automation, which significantly reduces the need for human intervention. This shift represents a substantial improvement in operational efficiency and cost-effectiveness, setting a new benchmark for the industry.

How Does the AI Vehicle Enhance Inspection Efficiency?

The AI-driven vehicle operates autonomously, conducting thorough inspections without the need for on-site human presence.

“Automation can revolutionize how we carry out inspection and maintenance of offshore wind farms, helping to reduce both costs and timelines,”

said Brian Allen, CEO of Beam. By streaming data directly to shore, the vehicle minimizes inspection times by up to 50%, allowing personnel to focus on more complex tasks and reducing overall operational costs.

What Impact Does This Technology Have on Data Quality?

Beam’s technology not only speeds up inspections but also enhances the quality of the collected data. The vehicle is capable of generating detailed 3D reconstructions of wind farm structures, providing comprehensive visual and structural information. This high-quality data is crucial for monitoring marine growth and potential erosion, ensuring the long-term integrity of offshore installations.

What Are Beam’s Future Plans for Autonomous Technology?

Beam plans to expand its AI-driven solutions across its fleet of DP2 vessels, ROVs, and AUVs between 2025 and 2026.

“Looking ahead to the future, the potential of this technology is huge for the industry,”

added Allen. This expansion will further integrate autonomous technologies into offshore operations, supporting global energy transition efforts by making wind energy more sustainable and cost-effective.

The deployment at Seagreen, the world’s deepest fixed-bottom offshore wind farm, has provided valuable insights into the application of autonomous technology in large-scale wind structures. The successful implementation of Beam’s AI-driven vehicle underscores the potential for automated inspections to enhance safety, efficiency, and data accuracy in the offshore wind industry.

As Beam continues to innovate, the integration of artificial intelligence into marine inspections promises to transform the maintenance and operational strategies of offshore wind farms. This advancement not only supports the ongoing pursuit of sustainable energy solutions but also ensures that offshore wind farms can operate reliably and efficiently in increasingly challenging marine environments.

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Ethan Moreno
By Ethan Moreno
Ethan Moreno, a 35-year-old California resident, is a media graduate. Recognized for his extensive media knowledge and sharp editing skills, Ethan is a passionate professional dedicated to improving the accuracy and quality of news. Specializing in digital media, Moreno keeps abreast of technology, science and new media trends to shape content strategies.
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