Smart Wind Turbine Prediction Vmesnik za napovedno vzdrževanje by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 Srebrna nagrada A' Design Award in Oblikovanje vmesnikov, interakcij in uporabniške izkušnje Competition Category.
SrebrnaVmesnik· 2023
Smart Wind Turbine Prediction Vmesnik za napovedno vzdrževanje
Client: Jianxin Technology Co., Ltd
Srebrna nagrada A' Design Award Winner in Vmesnik Category
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- Verified Award Winner
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The Design
About Smart Wind Turbine Prediction Vmesnik za napovedno vzdrževanje
Smart Wind Turbine Prediction je programski vmesnik za inteligentno obratovanje in vzdrževanje vetrnih elektrarn. Vmesnik uporablja tridimenzionalno vizualizacijo, virtualno simulacijo in podatkovne grafe za prikaz stanja turbin in hitro lociranje napak. Modeli strojnega učenja se konfigurirajo s povleci-in-spusti nastavitvami podatkov in modelov, tako da lahko pokrivajo eno ali več vrst turbin. Opozorila o napakah so v povprečju posredovana približno dvajset minut prej, natančnost modela pa dosega 81 odstotkov. Stroški ročnega vzdrževanja in varnostna tveganja so zmanjšani.
The Recognition
About the Srebrna nagrada A' Design Award
Smart Wind Turbine Prediction Vmesnik za napovedno vzdrževanje je prejemnik Srebrne nagrade A' Design Award, izjemno prestižnega priznanja, ki se podeljuje čudovitim, impresivnim vrhunskim oblikovanjem. Prejemniki Srebrne nagrade so izjemno briljantna in zelo ustvarjalna dela, ki ponazarjajo izjemno strokovnost, talent in bistrost svojih oblikovalcev. Od Smart Wind Turbine Prediction Vmesnik za napovedno vzdrževanje se pričakuje, da bo čudovito, zgledno delo, opazno profesionalno in globoko inovativno. To oblikovanje, nagrajeno s Srebrno nagrado A' Design Award, je zelo opazen, občudovan izum, ki koristi in premika meje umetnosti, znanosti, oblikovanja in tehnologije. Smart Wind Turbine Prediction Vmesnik za napovedno vzdrževanje je stvaritev, ki ji mnogi zavidajo, ki prebuja želje, prinaša pozitivna čustva in vzbuja začudenje in občudovanje.
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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