Smart Wind Turbine Prediction: A Revolution in Renewable Energy

4Paradigm UED's AI System Design Enhances Wind Farm Operations

4Paradigm UED introduces the Smart Wind Turbine Prediction system, an innovative AI solution designed to optimize renewable energy scenarios. The system, a winner of the prestigious Silver A' Interface, Interaction and User Experience Design Award in 2023, offers intelligent operation solutions based on Industrial IoT and machine learning models. It is a game-changer in the field of renewable energy, contributing to global efforts to combat climate change.

The Smart Wind Turbine Prediction system is a unique blend of technology and design. It provides decision support for wind farm's intelligent operation and maintenance, turbine start/stop, and fault analysis. The system's strength lies in its ability to manage power generation capacity, ensuring stable and continuous output through intelligent, decision-driven solutions.

The design team, led by Yun Xu and Wei Wang, has incorporated a range of innovative features into the system. The visualization of wind turbine models and data graphs allows for quick fault detection in wind turbines, enhancing the efficiency of operations and maintenance processes. The system also allows for custom settings of various machine learning models, improving targeted operations and maintenance troubleshooting capabilities.

The Smart Wind Turbine Prediction system is realized through 3D visualization modeling, virtual simulation, surveillance visualization, and other technical means. It intelligently displays the physical reality space in the digital system, providing interpretable and traceable machine learning capabilities. The system simulates the logic behind users' real interactive operations in the physical world, enabling enterprise customers to receive fault warnings 20 minutes earlier on average, with an overall model accuracy rate of 81%.

The design team has addressed significant challenges in the renewable energy sector. The system reduces high manual operations and maintenance costs, improving safety and efficiency for personnel. It also enables more effective use of wind resources, contributing to global efforts to combat climate change.

The Smart Wind Turbine Prediction system is a testament to 4Paradigm UED's commitment to innovation and excellence in design. The system, completed in Beijing in 2022, is a shining example of the potential of AI and machine learning in revolutionizing the renewable energy sector. With this system, 4Paradigm UED continues to push the boundaries of what is possible in design and technology.


Project Details and Credits

Project Designers: 4Paradigm UED
Image Credits: Design creativity:Yun Xu , Wei Wang Interface design: Yanfen Zhang Interaction design:Xinjie Li Video Copyright:Shaoxiong Bai
Project Team Members: Design Director:Yun Xu Design Manager:Wei Wang Designer:Shaoxiong Bai Designer:Xinjie Li Designer:Yanfen Zhang
Project Name: Smart Wind Turbine Prediction
Project Client: 4Paradigm UED


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