Smart Wind Turbine Prediction 予知保全インターフェース by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 A' Design Award 銀賞 in インターフェース・インタラクション・UXデザイン Competition Category.
銀インターフェース· 2023
Smart Wind Turbine Prediction 予知保全インターフェース
Client: Jianxin Technology Co., Ltd
A' Design Award 銀賞 Winner in インターフェース Category
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- Verified Award Winner
- Verify Award Status for #141912
The Design
About Smart Wind Turbine Prediction 予知保全インターフェース
Smart Wind Turbine Predictionは、風力発電所のインテリジェントな運用・保守のためのソフトウェアインターフェースです。三次元ビジュアライゼーション、バーチャルシミュレーション、データグラフを用いて風車の状態を表示し、故障箇所を迅速に特定します。機械学習モデルは、データとモデル設定をドラッグ＆ドロップで構成でき、単一機種から複数機種まで対応可能です。故障警告は平均して約20分早く通知され、モデルの精度は81パーセントに達します。人手による保守コストと安全上のリスクを低減します。
The Recognition
About the A' Design Award 銀賞
Smart Wind Turbine Prediction 予知保全インターフェースは、見事で印象的なハイエンドのデザインに授与される、非常に権威ある評価である A' Design Award 銀賞の受賞作品です。銀賞の受賞作品は、きわめて輝かしく創造性に富んだ作品であり、デザイナーの傑出した専門知識、才能、洞察力を示しています。Smart Wind Turbine Prediction 予知保全インターフェースは、素晴らしい代表作であり、驚くほどプロフェッショナルで、深く革新的であることが期待されます。この A' Design Award 銀賞を受賞したデザインは、非常に注目すべき称賛される発明であり、芸術・科学・デザイン・技術の境界に寄与し、それを前進させます。Smart Wind Turbine Prediction 予知保全インターフェースは、多くの人に羨まれる創造物であり、欲求を呼び覚まし、前向きな感情をもたらし、驚きと感嘆を灯します。
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- 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.
- Team Members
- Design Director：Yun Xu
Design Manager：Wei Wang
Designer：Shaoxiong Bai
Designer：Xinjie Li
Designer：Yanfen Zhang - Image Credits
- Design creativity：Yun Xu , Wei Wang
Interface design: Yanfen Zhang
Interaction design：Xinjie Li
Video Copyright：Shaoxiong Bai
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