Smart Wind Turbine Prediction Grensesnitt for prediktivt vedlikehold by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 A' Design Award i Sølv in Grensesnitt-, interaksjons- og brukeropplevelsesdesign Competition Category.
SølvGrensesnitt· 2023
Smart Wind Turbine Prediction Grensesnitt for prediktivt vedlikehold
Client: Jianxin Technology Co., Ltd
A' Design Award i Sølv Winner in Grensesnitt Category
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- Verified Award Winner
- Verify Award Status for #141912
The Design
About Smart Wind Turbine Prediction Grensesnitt for prediktivt vedlikehold
Smart Wind Turbine Prediction er et programvaregrensesnitt for intelligent drift og vedlikehold av vindparker. Grensesnittet bruker tredimensjonal visualisering, virtuell simulering og datagrafer for å vise turbinenes tilstand og raskt lokalisere feil. Maskinlæringsmodeller konfigureres ved å dra og slippe data og modellinnstillinger, slik at én eller flere turbintyper kan dekkes. Feilvarsler leveres i gjennomsnitt omtrent tjue minutter tidligere, og modellnøyaktigheten når 81 prosent. Manuelle vedlikeholdskostnader og sikkerhetsrisikoer reduseres.
The Recognition
About the A' Design Award i Sølv
Smart Wind Turbine Prediction Grensesnitt for prediktivt vedlikehold er vinner av A' Design Award i Sølv, en usedvanlig prestisjefylt anerkjennelse som tildeles design i toppklassen som er nydelige og imponerende. Sølvvinnere er enormt briljante og usedvanlig kreative verk som viser designernes enestående ekspertise, talent og skarpsindighet. Smart Wind Turbine Prediction Grensesnitt for prediktivt vedlikehold forventes å være et praktfullt utstillingsverk som er bemerkelsesverdig profesjonelt og dypt nyskapende. Dette designet, som har vunnet A' Design Award i Sølv, er en svært bemerkelsesverdig, beundret oppfinnelse som gagner og flytter grensene for kunst, vitenskap, design og teknologi. Smart Wind Turbine Prediction Grensesnitt for prediktivt vedlikehold er et skaperverk mange misunner, som vekker ønsker, gir positive følelser og vekker undring og forundring.
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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