Salaka Antarmuka · 2023
Smart Wind Turbine Prediction Antarmuka Prediksi Pemeliharaan
- A' Design Award Salaka 2023 in Antarmuka
- CLIENT: Jianxin Technology Co., Ltd
- Estimated Number of Design Views: 52,172
- Verification code 5059508A13 · Verify this award
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About Smart Wind Turbine Prediction Antarmuka Prediksi Pemeliharaan
Smart Wind Turbine Prediction iyanaritu séddi antarmuka software untu' operasi sibawa pemeliharaan macca ri ladang angin. Antarmuka éwé makkéguna visualisasi tellu dimensi, simulasi virtual sibawa grafik data untu' mappaitang keadaanna turbin sibawa runtu'i masitta onronna asalangngé. Model machine learning ripasadia sibawa carana ma'gésara sibawa mappanoq data enrengngé pangaturanna modélé, jaji weddingngi nasalipuri séddi iyaréga maéga rupanna turbin. Peringatan asalangngé riwérengngi rata-rata seppulo dua puloé menit lebbi mariolo, na akkessingenna modélé narapi 81 persen. Ongkoso pemeliharaan sibawa lima tau enrengngé bahaya asalamakengngé makurangngi.
About the A' Design Award Salaka
Smart Wind Turbine Prediction Antarmuka Prediksi Pemeliharaan iyanaritu pakoro A' Design Award Salaka, pakalebbi iya malompo tongeng iya ripabbere ri desain tingkak pole, cantik sibawa mappakita. Pakoro Salaka iyanaritu karya iya macennning tongeng sibawa kreatif iya mappakita keahlian, bakat sibawa ketajaman pikkiran tau mabbuat. Smart Wind Turbine Prediction Antarmuka Prediksi Pemeliharaan ripakkirangngi mancaji karya iya magello, mancaji pakkitaang, profesional sibawa inovatif iya dalleng. Desain pakoro A' Design Award Salaka iyae iyanaritu penemuan iya lebbi riissengngi sibawa ripuji, iya pawangekeng sibawa mappalaong wates seni, sains, desain sibawa teknologi. Smart Wind Turbine Prediction Antarmuka Prediksi Pemeliharaan iyanaritu ciptaan iya riennengi tau maega, iya mappabbura keinginan, mappabbere perasaan makessing sibawa mappabbentuk ketakjuban.
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
