Smart Wind Turbine Prediction Fasahar Sadarwa ta Hasashen Gyara da Kulawa by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 Kyautar A' Design Award ta Azurfa in Fuskar Amfani Competition Category.
AzurfaFuskar Amfani· 2023
Smart Wind Turbine Prediction Fasahar Sadarwa ta Hasashen Gyara da Kulawa
Client: Jianxin Technology Co., Ltd
Kyautar A' Design Award ta Azurfa Winner in Fuskar Amfani Category
Verified Award Winner
Verify Award Status for #141912The Design
About Smart Wind Turbine Prediction Fasahar Sadarwa ta Hasashen Gyara da Kulawa
Smart Wind Turbine Prediction wata fasahar sadarwa ce ta software don gudanarwa da kulawa mai wayo na gonakin injin iska. Wannan fasahar sadarwa tana amfani da hoto mai fuska uku, kwaikwayon zahiri da zane-zanen bayanai don nuna yanayin injinan iska da kuma gano wuraren da matsala ta faru cikin sauri. Ana daidaita samfuran koyon inji ta hanyar ja da sakin bayanai da saitunan samfuri, ta yadda za a iya rufe nau'in injin iska guda daya ko fiye. Ana isar da gargadin matsala kusan mintuna ashirin da wuri a matsakaici, kuma daidaiton samfuri ya kai kashi 81 cikin dari. An rage kudaden gyara na hannu da hadurran tsaro.
The Recognition
About the Kyautar A' Design Award ta Azurfa
Zanen Smart Wind Turbine Prediction Fasahar Sadarwa ta Hasashen Gyara da Kulawa ya lashe Kyautar A' Design Award ta Azurfa, wata karramawa mai tsananin daraja da ake bai wa zane-zane na matakin koli, masu kyau sosai kuma masu burgewa. Waɗanda suka lashe kyautar Azurfa ayyuka ne masu haske sosai da ƙirƙira mai yawa waɗanda ke nuna ƙwarewa, baiwa da kaifin tunanin masu zanensu. Ana sa ran zanen Smart Wind Turbine Prediction Fasahar Sadarwa ta Hasashen Gyara da Kulawa ya zama aiki mai ban mamaki, abin koyi, mai ƙwarewa sosai kuma mai ƙirƙire-ƙirƙire mai zurfi. Wannan zane da ya lashe Kyautar A' Design Award ta Azurfa ƙirƙira ce mai abin lura sosai, da ake sha'awa, wacce ke amfanar da kuma kai iyakokin fasaha, kimiyya, zane da fasahar zamani gaba. Zanen Smart Wind Turbine Prediction Fasahar Sadarwa ta Hasashen Gyara da Kulawa ƙirƙira ce da ake yi wa hassada sosai wacce ke tada sha'awa, tana kawo jin daɗi kuma tana haifar da mamaki da al'ajabi.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- 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.
- Team Members
- Design Director：Yun Xu
Design Manager：Wei Wang
Designer：Shaoxiong Bai
Designer：Xinjie Li
Designer：Yanfen Zhang - Image Credits
- Design creativity：Yun Xu , Wei Wang
Interface design: Yanfen Zhang
Interaction design：Xinjie Li
Video Copyright：Shaoxiong Bai
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