Smart Wind Turbine Prediction Chimiro Chekufanotaura Kugadzirisa by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 Mubairo weSirivha we A' Design Award in Chiso, Kushandira Pamwe neRuzivo rweMushandisi Competition Category.
SirivhaChiso· 2023
Smart Wind Turbine Prediction Chimiro Chekufanotaura Kugadzirisa
Client: Jianxin Technology Co., Ltd
Mubairo weSirivha we A' Design Award Winner in Chiso Category
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The Design
About Smart Wind Turbine Prediction Chimiro Chekufanotaura Kugadzirisa
Smart Wind Turbine Prediction chimiro chesoftware chekushandisa nekuchengetedza neungwaru kwemapurazi emhepo. Chimiro ichi chinoshandisa kuratidzwa kwemifananidzo mune matatu-dimensional, kufananidzira kwevirtual uye magirafu edata kuratidza mamiriro ematurbine uye kuwana pane kukanganisa nekukurumidza. Mamodheru ekudzidza emuchina anogadzirwa nekukwevera nekudonhedza data nemarongero emodheru, saka rudzi rumwe kana mhando dzakawanda dzematurbine dzinogona kubatwa. Yambiro dzekukanganisa dzinoendeswa anenge maminetsi makumi maviri pamberi paavhareji, uye kunyatsorurama kwemodheru kunosvika makumi masere neimwe muzana. Mari yekugadzirisa nemaoko nenjodzi dzekuchengetedzeka dzinoderedzwa.
The Recognition
About the Mubairo weSirivha we A' Design Award
Mubairo weSirivha we A' Design Award wakahwinwa ne Smart Wind Turbine Prediction Chimiro Chekufanotaura Kugadzirisa, rukudzo rwakakwirira zvikuru runopiwa kumadhizaini epamusoro, anonaka uye anofadza. Vakunda veSirivha mabasa anopenya kwazvo uye ane kugadzira kwakasiyana anoratidza unyanzvi, hunyanzvi hwekusikwa nekungwara kwevagadziri vawo. Smart Wind Turbine Prediction Chimiro Chekufanotaura Kugadzirisa inotarisirwa kuva basa rinoshamisa, rinotangira vamwe, rine hunyanzvi hunoonekwa uye zvitsva zvakadzika. Dhizaini iyi yakahwina Mubairo weSirivha we A' Design Award chigadzirwa chinoshamisa, chinokudzwa chinobatsira uye chinosundira mberi miganhu yehunyanzvi, sayenzi, dhizaini netekinoroji. Smart Wind Turbine Prediction Chimiro Chekufanotaura Kugadzirisa chigadzirwa chinoshuvirwa nevazhinji, chinomutsa zvishuvo, chinouya nemanzwiro akanaka uye chinomutsa kushamisika.
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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