Smart Wind Turbine Prediction Mantentze Prediktiborako Interfazea by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 Zilarrezko Saria A' Design Award in Interfaze, Elkarrekintza eta Erabiltzaile Esperientzia Diseinua Competition Category.
ZilarInterfazea· 2023
Smart Wind Turbine Prediction Mantentze Prediktiborako Interfazea
Client: Jianxin Technology Co., Ltd
Zilarrezko Saria A' Design Award Winner in Interfazea Category
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- Verified Award Winner
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The Design
About Smart Wind Turbine Prediction Mantentze Prediktiborako Interfazea
Smart Wind Turbine Prediction parke eolikoen operazio eta mantentze adimendunerako software interfaze bat da. Interfazeak hiru dimentsioko bistaratzea, simulazio birtuala eta datu-grafikoak erabiltzen ditu turbinen egoera erakusteko eta matxurak azkar lokalizatzeko. Ikasketa automatikoko ereduak datuak eta ereduen ezarpenak arrastatuz eta jareginez konfiguratzen dira, eta horrela turbina mota bakarra edo anitzak estal daitezke. Matxura-abisuak batez beste hogei minutu lehenago ematen dira, eta ereduaren zehaztasunak ehuneko 81 lortzen du. Eskuzko mantentze-kostuak eta segurtasun-arriskuak murrizten dira.
The Recognition
About the Zilarrezko Saria A' Design Award
Smart Wind Turbine Prediction Mantentze Prediktiborako Interfazea Zilarrezko Saria A' Design Award irabazlea da, goi-mailako, zoragarriak eta liluragarriak diren diseinuei ematen zaien ezohiko aitorpen prestijiotsua. Zilar-mailako irabazleak lan oso distiratsuak eta sormen biziko lanak dira, beren diseinatzaileen aditutasun, talentu eta zorroztasun nabarmenak erakusten dituztenak. Smart Wind Turbine Prediction Mantentze Prediktiborako Interfazea erakusleiho-lan zoragarria, nabarmenki profesionala eta sakonki berritzailea izatea espero da. Zilarrezko Saria A' Design Award irabazi duen diseinu hau asmakizun oso nabarmena eta miretsia da, onura ekartzen duena eta artearen, zientziaren, diseinuaren eta teknologiaren mugak zabaltzen dituena. Smart Wind Turbine Prediction Mantentze Prediktiborako Interfazea jende askok inbidia duen sorkuntza da, desirak pizten dituena, sentimendu positiboak ekartzen dituena eta harridura eta txunditzea pizten dituena.
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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