Smart Wind Turbine Prediction Instrumentum Interfaciale Praedictivae Conservationis by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 Praemium A' Design Award Argenteum in Designatio Interfaciei Competition Category.
ArgentumInterfacies· 2023
Smart Wind Turbine Prediction Instrumentum Interfaciale Praedictivae Conservationis
Client: Jianxin Technology Co., Ltd
Praemium A' Design Award Argenteum Winner in Interfacies Category
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- Verified Award Winner
- Verify Award Status for #141912
The Design
About Smart Wind Turbine Prediction Instrumentum Interfaciale Praedictivae Conservationis
Praedictio Turbinarum Ventosarum Callida est interfacies programmatis ad operationem et conservationem intellegentem agrorum ventosorum destinata. Interfacies visualizatione tridimensionali, simulatione virtuali et graphicis datorum utitur ad condiciones turbinarum monstrandas et ad vitia celeriter locanda. Exemplaria machinali doctrina instructa trahendo et deponendo data ac exemplarium optiones configurantur, ita ut unum vel plura genera turbinarum comprehendi possint. Monitiones vitiorum circiter viginti minutis maturius plerumque traduntur, et exemplarium accuratio ad octoginta et unum centesimas pervenit. Sumptus conservationis manualis et pericula securitatis minuuntur.
The Recognition
About the Praemium A' Design Award Argenteum
Smart Wind Turbine Prediction Instrumentum Interfaciale Praedictivae Conservationis victor est Praemii A' Design Award Argenteum, honoris eximie amplissimi formis summi generis, pulchris et conspicuis dati. Victores Argenti opera valde splendida et creandi ingenio praedita sunt, quae praestantem peritiam, talentum et acumen auctorum suorum ostendunt. Exspectatur Smart Wind Turbine Prediction Instrumentum Interfaciale Praedictivae Conservationis opus mirabile, exemplare, valde professionale et penitus novum fore. Haec forma Argento victa inventum notabile et admiratum est, quod ad fines artis, scientiae, formandi rationis et technologiae promovendos confert. Smart Wind Turbine Prediction Instrumentum Interfaciale Praedictivae Conservationis creatio est, quam multi invident, quae cupiditates excitat, sensus bonos affert et admirationem miraculumque movet.
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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