Smart Wind Turbine Prediction Ujongomeleko Lokulondoloza Oluqikelelayo ngu-4Paradigm UED

Uyilo olubizwa ngokuba yi-Smart Wind Turbine Prediction Ujongomeleko Lokulondoloza Oluqikelelayo olwenziwe ngu-4Paradigm UED ngumwini obekekileyo webhaso elinobukhazikhazi le-2023 Ibhaso Lesilivere le-A' Design Award Kudidi Lokhuphiswano lwe-Uyilo lwe-Inthafeyi, uNxibelelwano kunye naMava oMsebenzisi.

IsilivereI-Inthafeyi· 2023

Smart Wind Turbine Prediction Ujongomeleko Lokulondoloza Oluqikelelayo

ngu 4Paradigm UED

Umxhasi: Jianxin Technology Co., Ltd

Umwini we-Ibhaso Lesilivere le-A' Design Award Kudidi Lwe-I-Inthafeyi

53,044

Umwini Webhaso Oqinisekisiweyo

Qinisekisa Isimo Sebhaso se-#141912

Tyelela iSayithi Jonga kwi-A' Design Award Uxwebhu Lweendaba Ibheji Yembasa

Imibala

Uyilo

Malunga ne-Smart Wind Turbine Prediction Ujongomeleko Lokulondoloza Oluqikelelayo

I-Smart Wind Turbine Prediction sisixhobo sesoftware sokusebenza ngobukrelekrele nokugcinwa kwamasimi omoya. Olu jongomeleko lusebenzisa umboniso wemifanekiso enemilinganiselo emithathu, uqikelelo lokulinganisa kunye neegrafu zedatha ukubonisa iimeko zeeturbine nokufumana iimpazamo ngokukhawuleza. Iimodeli zokufunda koomatshini ziqwalaselwa ngokutsala nokubeka idatha kunye nezicwangciso zemodeli, ngoko ke iindidi zeeturbine ezinye okanye ezininzi zinokuquka. Izilumkiso zeempazamo zihanjiswa malunga nemizuzu engamashumi amabini ngaphambili ngokomndilili, kwaye ukuchaneka kwemodeli kufikelela kwiipesenti ezingama-81. Iindleko zokulondoloza ngesandla kunye nemingcipheko yokhuseleko ziyancitshiswa.

Ukuqatshelwa

Malunga ne-Ibhaso Lesilivere le-A' Design Award

Smart Wind Turbine Prediction Ujongomeleko Lokulondoloza Oluqikelelayo ngumphumeleli weIbhaso Lesilivere le-A' Design Award, ukuqatshelwa okuhlonitshwayo ngokungaqhelekanga okunikwa imiyilo yomgangatho ophezulu, entle nechukumisayo. Abaphumeleleyo beSilivere ziimveliso ezikhazimlayo kakhulu nezidala kakhulu ezibonisa ubungcali obuphawulekayo, italente nobukrelekrele babayili bazo. Smart Wind Turbine Prediction Ujongomeleko Lokulondoloza Oluqikelelayo iyathenjwa ukuba ibe ngumsebenzi omhle womzekelo, onobungcali obuphawulekayo nezinto ezintsha ezinzulu. Lo myilo uphumeleleyo weIbhaso Lesilivere le-A' Design Award yimveliso ebonakalayo kakhulu, ethandwayo enceda kwaye inyusa imida yobugcisa, inzululwazi, uyilo kunye nobuchwephesha. Smart Wind Turbine Prediction Ujongomeleko Lokulondoloza Oluqikelelayo yimveliso enomona omkhulu kuyo evusa iinqwenelo, izisa iimvakalelo ezintle kwaye ivuselela ukumangaliswa nokumangala.

Emva Koyilo

Ikhithi Yeendaba

Iziqinisekiso, amalungu eqela kunye neenkcukacha zobugcisa ezinikezelwe ngumyili.

Iimpawu Ezizodwa: 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.
Imilinganiselo nePakishini: Width 1920 Height 1080
Iithegi: AI System Design , AI , AI Applications , Machine Learning , Modeling , Big Data
Ubuchwepheshe Bokuvelisa: 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%.
Umngeni Woyilo: It also enables more effective use of wind resources and contributes to the global governance effort to combat climate change.
Uphando: It addresses user pain points of high manual operations and maintenance costs and improves operations and maintenance personnel safety and efficiency.
Inkuthazo: 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.
Ubude Beprojekthi: The project was completed in Beijing in 2022
Ukuhamba Komsebenzi: 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.
Amalungu Eqela: Design Director：Yun Xu
Design Manager：Wei Wang
Designer：Shaoxiong Bai
Designer：Xinjie Li
Designer：Yanfen Zhang
Amagunya Emifanekiso: Design creativity：Yun Xu , Wei Wang
Interface design: Yanfen Zhang
Interaction design：Xinjie Li
Video Copyright：Shaoxiong Bai