Argent Interfàcia · 2023
Smart Wind Turbine Prediction Interfàcia de Manteniment Predictiu
- A' Design Award d'Argent 2023 in Interfàcia
- CLIENT: Jianxin Technology Co., Ltd
- Estimated Number of Design Views: 52,172
- Verification code 5059508A13 · Verify this award
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About Smart Wind Turbine Prediction Interfàcia de Manteniment Predictiu
Smart Wind Turbine Prediction es una interfàcia logiciala per l'operacion e lo manteniment intelligents dels parcs eolians. L'interfàcia utiliza la visualizacion tridimensionala, la simulacion virtuala e de grafics de donadas per mostrar l'estat de las turbinas e localizar rapidament las avarias. Los modèls d'aprendissatge automatic se configuran en lisant e depausant las donadas e los paramètres del modèl, çò que permet de cobrir un sol tipe de turbina o mantuns. Las alèrtas d'avaria son enviadas en mejana environ vint minutas mai lèu, e la precision del modèl aténh 81 per cent. Los còstes de manteniment manual e los riscs de seguretat son redusits.
About the A' Design Award d'Argent
Smart Wind Turbine Prediction Interfàcia de Manteniment Predictiu a ganhat la distincion A' Design Award d'Argent, una reconeissença extraordinàriament prestigiosa acordada a de designs d'ort de gamma, esplendids e impressionants. Los ganhaires de l'Argent son d'òbras terriblament brilhantas e extrèmament creativas que illustran l'experiéncia, lo talent e la finessa excepcionals de lors designers. S'espèra que Smart Wind Turbine Prediction Interfàcia de Manteniment Predictiu siá una òbra meravilhosa e de referéncia, notablament professionala e prigondament innovanta. Aqueste design ganhaire de la distincion A' Design Award d'Argent es una invencion fòrça notabla e admirada, que fa un ben e fa avançar las frontièras de l'art, de la sciéncia, del design e de la tecnologia. Smart Wind Turbine Prediction Interfàcia de Manteniment Predictiu es una creacion immensament envejada que desrevelha de desirs, aduch de sentiments positius e fa néisser l'estonament e l'esmaiment.
Press Kit
- 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.
- Image Credits
- Design creativity：Yun Xu , Wei Wang
Interface design: Yanfen Zhang
Interaction design：Xinjie Li
Video Copyright：Shaoxiong Bai
