Smart Wind Turbine Prediction Interfejs za prediktivno održavanje by 4Paradigm UED

Smart Wind Turbine Prediction Interfejs za prediktivno održavanje by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 Srebrna nagrada A' Design Award in Dizajn Interfejsa, Interakcije i Korisničkog Iskustva Competition Category.

SrebroInterfejs· 2023

Smart Wind Turbine Prediction Interfejs za prediktivno održavanje

by 4Paradigm UED

Client: Jianxin Technology Co., Ltd

Srebrna nagrada A' Design Award Winner in Interfejs Category

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Verified Award Winner

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The Design

About Smart Wind Turbine Prediction Interfejs za prediktivno održavanje

Smart Wind Turbine Prediction je softverski interfejs za inteligentno upravljanje i održavanje vjetroelektrana. Interfejs koristi trodimenzionalnu vizualizaciju, virtuelnu simulaciju i grafikone podataka za prikaz stanja turbina i brzo lociranje kvarova. Modeli mašinskog učenja konfigurišu se prevlačenjem i ispuštanjem podataka i postavki modela, tako da mogu biti obuhvaćeni pojedinačni ili višestruki tipovi turbina. Upozorenja o kvarovima isporučuju se u prosjeku oko dvadeset minuta ranije, a tačnost modela dostiže 81 posto. Troškovi ručnog održavanja i sigurnosni rizici su smanjeni.

The Recognition

About the Srebrna nagrada A' Design Award

Smart Wind Turbine Prediction Interfejs za prediktivno održavanje je pobjednik Srebrne nagrade A' Design Award, izuzetno prestižnog priznanja koje se dodjeljuje vrhunskim, veličanstvenim i impresivnim dizajnima. Srebrni pobjednici iznimno su briljantna i vrlo kreativna djela koja ilustriraju izuzetnu stručnost, talent i oštroumnost svojih dizajnera. Očekuje se da Smart Wind Turbine Prediction Interfejs za prediktivno održavanje bude divno, reprezentativno djelo koje je izuzetno profesionalno i duboko inovativno. Ovaj dizajn koji je osvojio Srebrnu nagradu A' Design Award vrlo je zapažen, nadaleko cijenjen izum koji koristi i pomjera granice umjetnosti, nauke, dizajna i tehnologije. Smart Wind Turbine Prediction Interfejs za prediktivno održavanje je kreacija kojoj se mnogi dive i zavide, koja budi želje, donosi pozitivne osjećaje i raspiruje čuđenje i divljenje.

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