AI System Design for Jianxin Technology Co., Ltd
The Intelligent wind turbine prediction 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 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.
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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.
AI System Design , AI , AI Applications , Machine Learning , Modeling , Big Data
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%.
It also enables more effective use of wind resources and contributes to the global governance effort to combat climate change.
The project was completed in Beijing in 2022
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.
It addresses user pain points of high manual operations and maintenance costs and improves operations and maintenance personnel safety and efficiency.
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.
Design creativity:Yun Xu , Wei Wang Interface design: Yanfen Zhang Interaction design:Xinjie Li Video Copyright:Shaoxiong Bai
Smart Wind Turbine Prediction AI System Design has been a Silver winner in the Interface, Interaction and User Experience Design award category in the year 2022 organized by the prestigious A' Design Award & Competition. The Silver A' Design Award celebrates top-tier designs that embody excellence and innovation. This award acknowledges creations that are not only aesthetically pleasing but also highly functional, reflecting the designer's deep understanding and skill. Silver A' Design Award recipients are recognized for their contribution to raising industry standards and advancing the practice of design. Their work often incorporates original innovations and elicits a strong emotional response, making a notable impact on the improvement of everyday life.
4Paradigm UED was recognized with the coveted Silver A' Design Award in 2023, a testament to excellence of their work Smart Wind Turbine Prediction AI System Design.
For journalists seeking engaging content: Explore our press releases featuring 4Paradigm UED's work, freely available for incorporation into your stories. Immediate access is granted to 6 press releases for all journalists.
4Paradigm UED Wins Silver A' Design Award for Smart Wind Turbine Prediction System
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