Smart Wind Turbine Prediction Interface de Manutenção Preditiva by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 A' Design Award de Prata in Design de Interface, Interação e Experiência do Utilizador Competition Category.
PrataInterface· 2023
Smart Wind Turbine Prediction Interface de Manutenção Preditiva
Client: Jianxin Technology Co., Ltd
A' Design Award de Prata Winner in Interface Category
- 52,172
- Verified Award Winner
- Verify Award Status for #141912
The Design
About Smart Wind Turbine Prediction Interface de Manutenção Preditiva
O Smart Wind Turbine Prediction é uma interface de software para a operação e manutenção inteligentes de parques eólicos. A interface utiliza visualização tridimensional, simulação virtual e gráficos de dados para mostrar as condições das turbinas e localizar falhas rapidamente. Os modelos de aprendizagem automática são configurados arrastando e soltando dados e definições de modelo, permitindo abranger um ou vários tipos de turbina. Os alertas de falha são emitidos, em média, cerca de vinte minutos mais cedo, e a precisão do modelo atinge 81 por cento. Os custos de manutenção manual e os riscos de segurança são reduzidos.
The Recognition
About the A' Design Award de Prata
Smart Wind Turbine Prediction Interface de Manutenção Preditiva conquistou o A' Design Award de Prata, um reconhecimento extraordinariamente prestigiado atribuído a designs de topo de gama, deslumbrantes e impressionantes. Os vencedores da Prata são obras tremendamente brilhantes e extremamente criativas que ilustram a perícia, o talento e a acuidade excecionais dos seus designers. Espera-se que Smart Wind Turbine Prediction Interface de Manutenção Preditiva seja uma obra maravilhosa e de referência, notavelmente profissional e profundamente inovadora. Este design vencedor do A' Design Award de Prata é uma invenção muito notável e admirada, que beneficia e faz avançar as fronteiras da arte, da ciência, do design e da tecnologia. Smart Wind Turbine Prediction Interface de Manutenção Preditiva é uma criação imensamente invejada que desperta desejos, traz sentimentos positivos e faz nascer espanto e deslumbramento.
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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