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Advanced Automation Wind Power
Success stories

Advanced Automation and Digital Twin Solutions for a Leading Wind Power Company

About the project

A leader in the wind power industry embarked on a mission to revolutionize their wind turbine blade inspection process. This initiative required a shift from traditional methods to a more efficient, automated system utilizing innovative and advanced technologies. They approached us to conceptualize and implement a cutting-edge solution that would streamline and simplify their inspection process, enhance accuracy, and reduce costs.

Location

Denmark

Team Size

10

Industry

WIND ENERGY

The Challenge

Our challenge was to design a comprehensive strategy that integrated high-resolution cameras, tilt devices with remote control, and advanced computer vision and AI algorithms running on hardware. The goal was to create a scalable and stable system capable of autonomously capturing images of wind turbine blades, with the results being sent to other systems for detailed examination. Additionally, we needed to develop a custom digital twin platform to simulate and validate various scenarios, such as different wind turbine types and different weather conditions, ensuring optimal performance and risk management.

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This is what we did

Automated Inspection System

Our team developed an innovative inspection embedded device with the following features:

  • High-Resolution Imaging: Utilized advanced cameras and tilt devices for precise image capture.
  • AI-Driven Analysis: Integrated computer vision and AI algorithms to automate image and metadata collection.
  • Remote Operation: Enabled remote control of the inspection devices, allowing operations from any location worldwide.
  • Automated Data Transmission: Streamlined the process of sending inspection data for detailed analysis and reporting.

Custom Digital Twin Platform

To enhance the solution, we created a bespoke digital twin platform that provided significant benefits:

  • Continuous Development: Facilitated ongoing software and hardware development, reducing development time and costs.
  • Accurate Simulations: Accurate Simulations: Allowed engineers to simulate real-world scenarios with high precision, optimizing solutions before hardware integration. The platform supported both Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulations, ensuring accurate modeling of physical behaviors and interactions.
  • Risk Mitigation: Enabled the identification and mitigation of potential risks through scenario simulation, minimizing the likelihood of real-world failures.
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Business Results that we achieved

Improved Time Efficiency

Decreased Mob/Demob Costs

Remote control capabilities negated the need for on-site crews, reducing operational costs.

On-Demand Inspections & Seamless Data Handling

Allowed for inspections to be conducted whenever remotely, eliminating geographic constraints; Automated data transmission streamlined the analysis and reporting process.

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By implementing our solution, our client achieved

Enhanced Development Cycles

Accelerated Time-to-Market: Virtual simulations enabled faster development and testing, speeding up product launches; Cost Savings: Reduced the need for physical testing and prototyping, saving on materials and resources.

Increased Accuracy & Risk Management

Precision in Simulations: High-accuracy simulations helped identify and resolve potential issues early in the process; Risk Reduction: Scenario simulations provided insights for risk mitigation, reducing the chances of real-world malfunctions.

Enhanced Collaboration

Shared Digital Twins: The digital twin models were shared among teams and stakeholders, fostering collaboration and informed decision-making.

Togetherness in pursuit of excellence.

Our collaboration with the wind power industry leader resulted in a groundbreaking transformation of their wind turbine blade inspection process. By leveraging advanced technologies, we delivered a solution that significantly improved efficiency, accuracy, and cost-effectiveness. This project underscores the potential of innovative approaches to drive substantial improvements in industrial operations, contributing to the advancement of renewable energy technologies.

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