Smart Wind Turbine Prediction Voorspellende Instandhoudingskoppelvlak deur 4Paradigm UED

Die ontwerp Smart Wind Turbine Prediction Voorspellende Instandhoudingskoppelvlak deur 4Paradigm UED is 'n hoogs gewaardeerde wenner van die baie prestigieuese 2023 A' Design Award in Silwer in die Koppelvlak-, Interaksie- en Gebruikerservaring-ontwerp-kompetisiekategorie.

SilwerKoppelvlak· 2023

Smart Wind Turbine Prediction Voorspellende Instandhoudingskoppelvlak

deur 4Paradigm UED

Kliënt: Jianxin Technology Co., Ltd

Wenner van die A' Design Award in Silwer in die Koppelvlak-kategorie

53,044

Geverifieerde Toekenningswenner

Verifieer Toekenningsstatus vir #141912

Besoek Webwerf Bekyk by A' Design Award Persverklaring Toekenningskenteken

Kleure

Die Ontwerp

Oor Smart Wind Turbine Prediction Voorspellende Instandhoudingskoppelvlak

Smart Wind Turbine Prediction is 'n sagtewarekoppelvlak vir die intelligente bedryf en instandhouding van windplase. Die koppelvlak gebruik driedimensionele visualisering, virtuele simulasie en datagrafieke om turbinetoestande te toon en foute vinnig op te spoor. Masjienleermodelle word gekonfigureer deur data- en modelinstellings te sleep en te los, sodat enkele of veelvuldige turbinetipes gedek kan word. Foutwaarskuwings word gemiddeld ongeveer twintig minute vroeër gelewer, en die modelakkuraatheid bereik 81 persent. Handmatige instandhoudingskoste en veiligheidsrisiko's word verminder.

Die Erkenning

Oor die A' Design Award in Silwer

Smart Wind Turbine Prediction Voorspellende Instandhoudingskoppelvlak is 'n wenner van die A' Design Award in Silwer, 'n buitengewoon prestigieuse erkenning wat toegeken word aan topklas-, pragtige en indrukwekkende ontwerpe. Wenners in Silwer is geweldig briljante en uiters kreatiewe werke wat die uitstaande kundigheid, talent en skerpsinnigheid van hul ontwerpers illustreer. Daar word verwag dat Smart Wind Turbine Prediction Voorspellende Instandhoudingskoppelvlak 'n wonderlike vertoonstuk is wat merkwaardig professioneel en diepgaande innoverend is. Hierdie ontwerp wat die A' Design Award in Silwer gewen het, is 'n hoogs noemenswaardige, bewonderde uitvinding wat die grense van kuns, wetenskap, ontwerp en tegnologie bevoordeel en uitbrei. Smart Wind Turbine Prediction Voorspellende Instandhoudingskoppelvlak is 'n wyd beny skepping wat begeertes oproep, positiewe gevoelens bring en verbasing en verwondering wek.

Agter die Ontwerp

Persstel

Krediete, spanlede en tegniese besonderhede verskaf deur die ontwerper.

Unieke Eienskappe: 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.
Afmetings & Verpakking: Width 1920 Height 1080
Etikette: AI System Design , AI , AI Applications , Machine Learning , Modeling , Big Data
Produksietegnologie: 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%.
Ontwerpuitdaging: It also enables more effective use of wind resources and contributes to the global governance effort to combat climate change.
Navorsing: It addresses user pain points of high manual operations and maintenance costs and improves operations and maintenance personnel safety and efficiency.
Inspirasie: 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.
Projekduur: The project was completed in Beijing in 2022
Bedryfsvloei: 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.
Spanlede: Design Director：Yun Xu
Design Manager：Wei Wang
Designer：Shaoxiong Bai
Designer：Xinjie Li
Designer：Yanfen Zhang
Beeldkrediete: Design creativity：Yun Xu , Wei Wang
Interface design: Yanfen Zhang
Interaction design：Xinjie Li
Video Copyright：Shaoxiong Bai