Smart Wind Turbine Prediction Lub Interface Twv Ua Ntej Rau Kev Saib Xyuas Tu los ntawm 4Paradigm UED

Qhov qauv tsim Smart Wind Turbine Prediction Lub Interface Twv Ua Ntej Rau Kev Saib Xyuas Tu los ntawm 4Paradigm UED yog tus yeej muaj nqis heev ntawm qhov khoom plig 2023 A' Design Award Nyiaj hauv Pawg Sib Tw Tsim Kev Sib Txuas, Kev Sib Cuam Tshuam thiab Kev Siv Neeg.

NyiajKev Sib Txuas· 2023

Smart Wind Turbine Prediction Lub Interface Twv Ua Ntej Rau Kev Saib Xyuas Tu

los ntawm 4Paradigm UED

Tus Neeg Siv: Jianxin Technology Co., Ltd

Tus Yeej A' Design Award Nyiaj hauv Pawg Kev Sib Txuas

53,044

Tus Yeej Khoom Plig Tau Txheeb Xyuas

Txheeb Xyuas Qhov Xwm Txheej Khoom Plig rau #141912

Mus Saib Lub Vev Xaib Saib ntawm A' Design Award Tsab Xov Xwm Daim Phiaj Khoom Plig

Xim

Qhov Tsim

Txog Smart Wind Turbine Prediction Lub Interface Twv Ua Ntej Rau Kev Saib Xyuas Tu

Smart Wind Turbine Prediction yog ib qho software interface rau kev khiav haujlwm thiab kev saib xyuas tu ntse ntawm cov teb cua hluav taws xob (wind farms). Lub interface no siv kev pom duab peb-fab (three-dimensional visualization), kev simulation tsis muaj tiag (virtual simulation) thiab cov duab kos ntawm cov ntaub ntawv los qhia tej yam xwm txheej ntawm cov turbine thiab pab nrhiav qhov muaj teeb meem kom sai. Cov qauv machine learning raug teeb tsa los ntawm kev rub thiab tso (drag and drop) cov ntaub ntawv thiab cov chaw teeb tsa qauv, yog li thiaj muaj peev xwm npog tau ib hom lossis ntau hom turbine. Cov lus ceeb toom txog qhov muaj teeb meem raug xa tuaj ua ntej li nees nkaum feeb nrab ntawm nruab nrab, thiab qhov tseeb ntawm tus qauv mus txog 81 feem pua. Cov nqi kho tu siv tes ua thiab cov kev pheej hmoo rau kev nyab xeeb raug txo kom tsawg.

Qhov Lees Paub

Txog A' Design Award Nyiaj

Smart Wind Turbine Prediction Lub Interface Twv Ua Ntej Rau Kev Saib Xyuas Tu yog tus yeej ntawm A' Design Award Nyiaj, ib qho kev lees paub muaj meej mom heev tshaj li qub uas muab rau cov qauv tsim qib siab, zoo nkauj thiab ua rau neeg xav tsis thoob. Cov neeg yeej Nyiaj yog cov haujlwm ci ntsa iab heev thiab tsim tshiab heev uas qhia txog kev paub, kev txawj ntse thiab kev ntse ntawm cov kws tsim qauv. Smart Wind Turbine Prediction Lub Interface Twv Ua Ntej Rau Kev Saib Xyuas Tu xav tias yuav yog ib qho haujlwm zoo kawg nkaus uas tsim rau qhia, tshaj lij heev thiab tsim tshiab tob. Cov qauv tsim yeej A' Design Award Nyiaj no yog ib qho khoom tsim uas pom tseeb heev thiab neeg qhuas uas pab tau thiab nthuav dav ciam teb ntawm kev kos duab, kev tshawb fawb, kev tsim qauv thiab thev naus laus zis. Smart Wind Turbine Prediction Lub Interface Twv Ua Ntej Rau Kev Saib Xyuas Tu yog ib qho khoom tsim uas neeg coob xav tau, uas ua rau xav, coj kev xav zoo thiab ua rau xav tsis thoob thiab xav paub.

Tom Qab Qhov Tsim

Pob Xov Xwm

Cov credit, cov neeg pab thiab cov ntsiab lus kev txawj ntse muab los ntawm tus tsim.

Yam Tshwj Xeeb: 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.
Qhov Loj & Ntim: Width 1920 Height 1080
Cov Ntsiab Lus: AI System Design , AI , AI Applications , Machine Learning , Modeling , Big Data
Thev Naus Laus Zis Tsim Khoom: 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%.
Kev Sib Tw Tsim Qauv: It also enables more effective use of wind resources and contributes to the global governance effort to combat climate change.
Kev Tshawb Fawb: It addresses user pain points of high manual operations and maintenance costs and improves operations and maintenance personnel safety and efficiency.
Kev Txhawb Siab: 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.
Lub Sij Hawm Ua Hauj Lwm: The project was completed in Beijing in 2022
Txheej Txheem Ua Hauj Lwm: 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.
Cov Tswv Cuab Pab: Design Director：Yun Xu
Design Manager：Wei Wang
Designer：Shaoxiong Bai
Designer：Xinjie Li
Designer：Yanfen Zhang
Kev Qhuas Duab: Design creativity：Yun Xu , Wei Wang
Interface design: Yanfen Zhang
Interaction design：Xinjie Li
Video Copyright：Shaoxiong Bai