Kümüş Interfeýs · 2023
Smart Wind Turbine Prediction Çaklaýjy Tehniki Hyzmat Interfeýsi
- A' Design Award Kümüş Baýragy 2023 in Interfeýs
- CLIENT: Jianxin Technology Co., Ltd
- Estimated Number of Design Views: 52,172
- Verification code 5059508A13 · Verify this award
Colors
About Smart Wind Turbine Prediction Çaklaýjy Tehniki Hyzmat Interfeýsi
Smart Wind Turbine Prediction — ýel elektrik stansiýalarynyň akylly işledilmegi we tehniki hyzmaty üçin programma üpjünçiliginiň interfeýsidir. Interfeýs turbinalaryň ýagdaýyny görkezmek we näsazlyklaryň ýerini çalt kesgitlemek üçin üç ölçegli wizualizasiýany, wirtual simulýasiýany we maglumat grafiklerini ulanýar. Maşyn öwreniş modelleri maglumatlary we model sazlamalaryny süýräp-goýbermek arkaly düzülýär, şeýlelikde bir ýa-da birnäçe turbina görnüşi öz içine alnyp bilner. Näsazlyk duýduryşlary ortaça ýigrimi minut töweregi öňünden berilýär we modeliň takyklygy 81 göterime ýetýär. El bilen tehniki hyzmatyň çykdajylary we howpsuzlyk töwekgelçilikleri azalýar.
About the A' Design Award Kümüş Baýragy
Smart Wind Turbine Prediction Çaklaýjy Tehniki Hyzmat Interfeýsi A' Design Award Kümüş Baýragynyň ýeňijisidir; bu owadan, belent we täsirli ýokary derejeli dizaýnlara berilýän adatdan daşary abraýly ykrarnamadyr. Kümüş ýeňijileri dizaýnerleriniň ajaýyp bilimini, zehinini we ýiti aňyny görkezýän aşa ýalpyldawuk we örän döredijilikli eserlerdir. Smart Wind Turbine Prediction Çaklaýjy Tehniki Hyzmat Interfeýsi ajaýyp, nusgalyk, üns çekiji derejede hünärmenlikli we çuňňur täzelikçi eser bolmagy garaşylýar. A' Design Award Kümüş Baýragyny gazanan bu dizaýn sungatyň, ylmyň, dizaýnyň we tehnologiýanyň çäklerine peýda berýän we ony öňe sürýän örän üns çekiji, haýran galynýan oýlap tapyşdyr. Smart Wind Turbine Prediction Çaklaýjy Tehniki Hyzmat Interfeýsi köpüň gabanjyna sezewar bolýan, isleglerimizi oýarýan, oňyn duýgulary getirýän we haýranlyk we geň galmagy döredýän eserdir.
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
