Smart Wind Turbine Prediction Kiolesura cha Matengenezo ya Kubashiri by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 Tuzo ya Fedha ya A' Design Award in Usanifu wa Kiolesura, Mwingiliano na Uzoefu wa Mtumiaji Competition Category.
FedhaKiolesura· 2023
Smart Wind Turbine Prediction Kiolesura cha Matengenezo ya Kubashiri
Client: Jianxin Technology Co., Ltd
Tuzo ya Fedha ya A' Design Award Winner in Kiolesura Category
Verified Award Winner
Verify Award Status for #141912The Design
About Smart Wind Turbine Prediction Kiolesura cha Matengenezo ya Kubashiri
Utabiri wa Kinu Mahiri cha Upepo ni kiolesura cha programu kwa ajili ya uendeshaji na matengenezo ya kiakili ya mashamba ya upepo. Kiolesura hiki kinatumia taswira ya pande tatu, uigaji pepe na grafu za data kuonyesha hali za vinu na kutambua hitilafu haraka. Miundo ya ujifunzaji wa mashine husanidiwa kwa kuburuta na kudondosha data na mipangilio ya miundo, hivyo aina moja au nyingi za vinu zinaweza kuhudumiwa. Tahadhari za hitilafu hutolewa takriban dakika ishirini mapema kwa wastani, na usahihi wa muundo hufikia asilimia 81. Gharama za matengenezo ya mikono na hatari za usalama hupunguzwa.
The Recognition
About the Tuzo ya Fedha ya A' Design Award
Smart Wind Turbine Prediction Kiolesura cha Matengenezo ya Kubashiri ni mshindi wa Tuzo ya Fedha ya A' Design Award, utambuzi wenye heshima kubwa ya ajabu unaotolewa kwa miundo ya hali ya juu kabisa, ya kupendeza na ya kuvutia. Washindi wa Fedha ni kazi zinazong'aa mno na bunifu kupita kiasi zinazoonyesha utaalamu bora, kipaji na busara ya wabunifu wao. Smart Wind Turbine Prediction Kiolesura cha Matengenezo ya Kubashiri inatarajiwa kuwa kazi nzuri ya kuigwa ambayo ni ya kitaalamu kwa kiasi kikubwa na yenye ubunifu wa kina. Muundo huu ulioshinda Tuzo ya Fedha ya A' Design Award ni uvumbuzi unaojulikana sana na kupendwa, unaonufaisha na kupanua mipaka ya sanaa, sayansi, usanifu na teknolojia. Smart Wind Turbine Prediction Kiolesura cha Matengenezo ya Kubashiri ni kazi inayotamaniwa mno inayochochea hamu, huleta hisia chanya na huzua mshangao na mastaajabu.
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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