Smart Wind Turbine Prediction Voorspellend Onderhoudsinterface by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 A' Design Award in Zilver in Interface-, Interactie- en Gebruikerservaring Ontwerp Competition Category.
ZilverInterface· 2023
Smart Wind Turbine Prediction Voorspellend Onderhoudsinterface
Client: Jianxin Technology Co., Ltd
A' Design Award in Zilver Winner in Interface Category
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- Verified Award Winner
- Verify Award Status for #141912
The Design
About Smart Wind Turbine Prediction Voorspellend Onderhoudsinterface
Smart Wind Turbine Prediction is een software-interface voor het intelligente beheer en onderhoud van windparken. De interface gebruikt driedimensionale visualisatie, virtuele simulatie en datagrafieken om de toestand van turbines weer te geven en storingen snel te lokaliseren. Machine learning-modellen worden geconfigureerd door data- en modelinstellingen te slepen en neer te zetten, zodat één of meerdere turbinetypes kunnen worden gedekt. Storingswaarschuwingen worden gemiddeld ongeveer twintig minuten eerder geleverd, en de nauwkeurigheid van het model bereikt 81 procent. Handmatige onderhoudskosten en veiligheidsrisico's worden verminderd.
The Recognition
About the A' Design Award in Zilver
Smart Wind Turbine Prediction Voorspellend Onderhoudsinterface is winnaar van de A' Design Award in Zilver, een buitengewoon prestigieuze erkenning die wordt toegekend aan topontwerpen die prachtig en indrukwekkend zijn. Winnaars in Zilver zijn enorm briljante en uiterst creatieve werken die de uitmuntende expertise, het talent en de scherpzinnigheid van hun ontwerpers illustreren. Smart Wind Turbine Prediction Voorspellend Onderhoudsinterface wordt verwacht een prachtig paradepaardje te zijn dat opmerkelijk professioneel en diepgaand innovatief is. Dit ontwerp dat de A' Design Award in Zilver heeft gewonnen, is een hoogst opmerkelijke, bewonderde uitvinding die baat en de grenzen van kunst, wetenschap, ontwerp en technologie verlegt. Smart Wind Turbine Prediction Voorspellend Onderhoudsinterface is een zeer benijde creatie die verlangens oproept, positieve gevoelens brengt en verbazing en verwondering doet ontvlammen.
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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