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Smart Wind Turbine Prediction Interface sa Predictive nga Pagmentinar by 4Paradigm UED

Smart Wind Turbine Prediction Interface sa Predictive nga Pagmentinar by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 A' Design Award nga Pilak in Disenyo sa Interface, Interaksyon ug Kasinatian sa Tiggamit Competition Category.


PilakInterface· 2023

Smart Wind Turbine Prediction Interface sa Predictive nga Pagmentinar

by 4Paradigm UED

Client: Jianxin Technology Co., Ltd

A' Design Award nga Pilak Winner in Interface Category

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Verified Award Winner

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The Design

About Smart Wind Turbine Prediction Interface sa Predictive nga Pagmentinar

Ang Smart Wind Turbine Prediction usa ka software interface alang sa intelihenteng operasyon ug pagmentinar sa mga wind farm. Ang interface naggamit og three-dimensional nga visualization, virtual simulation ug mga data graph aron ipakita ang kahimtang sa mga turbine ug aron dali nga makit-an ang mga depekto. Ang mga machine learning model gi-configure pinaagi sa pag-drag ug pag-drop sa datos ug mga setting sa modelo, busa masakop ang usa o daghang klase sa turbine. Ang mga pasidaan sa depekto gihatag nga mas sayo og mga baynte ka minuto sa aberids, ug ang katukma sa modelo moabot sa 81 porsyento. Naminusan ang gasto sa manwal nga pagmentinar ug ang mga risgo sa kaluwasan.

The Recognition

About the A' Design Award nga Pilak

Smart Wind Turbine Prediction Interface sa Predictive nga Pagmentinar usa ka mananaog sa A' Design Award nga Pilak, usa ka talagsaon kaayo nga prestihiyoso nga pag-ila nga gihatag sa labing taas nga lebel, matahom, ug makadani nga mga disenyo. Ang mga mananaog sa Pilak labihan ka hayag ug mamugnaon nga mga buhat nga nagpakita sa bantogan nga kahanas, talento, ug kamatngon sa ilang mga tigdesinyo. Gilauman nga ang Smart Wind Turbine Prediction Interface sa Predictive nga Pagmentinar mahimong talagsaon nga buhat nga ipasigarbo, dako ang pagkapropesyonal ug lawom ang kabag-ohan. Kini nga disenyo nga nakadaog og A' Design Award nga Pilak usa ka labihan ka mamatikdan, gihangaan nga imbento nga mapuslanon ug nagpalapad sa mga utlanan sa arte, siyensya, disenyo, ug teknolohiya. Smart Wind Turbine Prediction Interface sa Predictive nga Pagmentinar usa ka paglalang nga giinggit sa daghan, nga nagpukaw og mga tinguha, nagdala og positibo nga mga pagbati, ug nagsiga sa katingala ug paghangyo.

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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