Silver Interface · 2023
Smart Wind Turbine Prediction AI System Design
- Silver A' Design Award 2023 in Interface
- CLIENT: Jianxin Technology Co., Ltd
- Estimated Number of Design Views: 52,172
- Verification code 5059508A13 · Verify this award
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About Smart Wind Turbine Prediction AI System Design
Smart Wind Turbine Prediction is a software interface for the intelligent operation and maintenance of wind farms. The interface uses three-dimensional visualization, virtual simulation and data graphs to show turbine conditions and to locate faults quickly. Machine learning models are configured by dragging and dropping data and model settings, so single or multiple turbine types can be covered. Fault warnings are delivered about twenty minutes earlier on average, and model accuracy reaches 81 percent. Manual maintenance costs and safety risks are reduced.
About the Silver A' Design Award
Smart Wind Turbine Prediction AI System Design is a Silver A' Design Award winner, an extraordinarily prestigious recognition granted to top-of-the-line, gorgeous, and impressive designs. Silver winners are tremendously brilliant and exceedingly creative works that illustrate the outstanding expertise, talent, and acuity of their designers. Smart Wind Turbine Prediction AI System Design is expected to be a wonderful, showpiece work that is remarkably professional and profoundly innovative. This Silver A' Design Award-winning design is a highly notable, admired invention that benefits and advances the boundaries of art, science, design, and technology. Smart Wind Turbine Prediction AI System Design is a vastly envied creation that evokes desires, introduces positive feelings, and sparks amazement and wonderment.
Press Kit
- Unique Properties
- Through the visualization of wind turbine models and data graphs, we can quickly pinpoint the fault in wind turbines and efficiently safeguard the operations and maintenance process. Through the “drag and drop” data and model settings, we can meet the custom settings of “same type and same module” and “multiple types and multiple modules” from various machine learning models to hone targeted operations and maintenance trouble-shooting capabilities.
- Dimensions & Packaging
- Width 1920 Height 1080
- Tags
- AI System Design , AI , AI Applications , Machine Learning , Modeling , Big Data
- Production Technology
- Using 3D visualization modeling, virtual simulation, surveillance visualization, and other technical means, we intelligently display the physical reality space in the digital system, provide interpretable and traceable machine learning capabilities, and simulate the logic behind users’ real interactive operations in the physical world. Our solution enables enterprise customers to receive fault warnings (on average) 20 minutes earlier, and the overall model accuracy rate has reached 81%.
- Design Challenge
- It also enables more effective use of wind resources and contributes to the global governance effort to combat climate change.
- Research
- It addresses user pain points of high manual operations and maintenance costs and improves operations and maintenance personnel safety and efficiency.
- Inspiration
- The system is an intelligent operation solution for renewable energy scenarios based on the digital base of Industrial IoT and the prediction capability of machine learning models. It provides decision support for the wind farm's intelligent operation and maintenance, turbine start/stop, and fault analysis.The system provides manageability for power generation capacity and allows stable and continuous output through intelligent, decision-driven solutions.
- Project Duration
- The project was completed in Beijing in 2022
- Operation Flow
- The design language follows the principle of intelligence and efficiency, and it aims to deliver a brand-new experience to users through digital and intelligent interactions.
- Image Credits
- Design creativity：Yun Xu , Wei Wang
Interface design: Yanfen Zhang
Interaction design：Xinjie Li
Video Copyright：Shaoxiong Bai
