Smart Wind Turbine Prediction Prognozējošās apkopes saskarne by 4Paradigm UED

Smart Wind Turbine Prediction Prognozējošās apkopes saskarne by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 Sudraba balva A' Design Award in Saskarnes, mijiedarbības un lietotāja pieredzes dizains Competition Category.

SudrabaSaskarne· 2023

Smart Wind Turbine Prediction Prognozējošās apkopes saskarne

by 4Paradigm UED

Client: Jianxin Technology Co., Ltd

Sudraba balva A' Design Award Winner in Saskarne Category

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Verified Award Winner

Verify Award Status for #141912

Visit Site View at A' Design Award Press Release Award Badge

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The Design

About Smart Wind Turbine Prediction Prognozējošās apkopes saskarne

Smart Wind Turbine Prediction ir programmatūras saskarne vēja parku viedai ekspluatācijai un apkopei. Saskarne izmanto trīsdimensiju vizualizāciju, virtuālo simulāciju un datu grafikus, lai attēlotu turbīnu stāvokli un ātri lokalizētu bojājumus. Mašīnmācīšanās modeļi tiek konfigurēti, velkot un nometot datus un modeļu iestatījumus, tādējādi var aptvert vienu vai vairākus turbīnu tipus. Brīdinājumi par bojājumiem tiek sniegti vidēji apmēram divdesmit minūtes agrāk, un modeļa precizitāte sasniedz 81 procentu. Tiek samazinātas manuālās apkopes izmaksas un drošības riski.

The Recognition

About the Sudraba balva A' Design Award

Smart Wind Turbine Prediction Prognozējošās apkopes saskarne ir Sudraba balvas A' Design Award ieguvējs, ārkārtīgi prestiža atzinība, ko piešķir augstākās klases, krāšņiem un iespaidīgiem dizainiem. Sudraba ieguvēji ir ārkārtīgi spožas un ļoti radošas izpausmes, kas parāda to dizaineru izcilo kompetenci, talantu un asredzību. Sagaidāms, ka Smart Wind Turbine Prediction Prognozējošās apkopes saskarne būs lielisks, paraugdarbs, ļoti profesionāls un dziļi inovatīvs. Šis ar Sudraba balvu apbalvotais dizains ir ievērojams, apbrīnots izgudrojums, kas palīdz paplašināt mākslas, zinātnes, dizaina un tehnoloģiju robežas. Smart Wind Turbine Prediction Prognozējošās apkopes saskarne ir radījums, kam daudzi apskauž, kas modina vēlmes, rada pozitīvas izjūtas un raisa izbrīnu un apbrīnu.

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