Smart Wind Turbine Prediction Antarmuka Pemeliharaan Prediktif by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 A' Design Award Perak in Desain Antarmuka, Interaksi dan Pengalaman Pengguna Competition Category.
PerakAntarmuka· 2023
Smart Wind Turbine Prediction Antarmuka Pemeliharaan Prediktif
Client: Jianxin Technology Co., Ltd
A' Design Award Perak Winner in Antarmuka Category
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- Verified Award Winner
- Verify Award Status for #141912
The Design
About Smart Wind Turbine Prediction Antarmuka Pemeliharaan Prediktif
Smart Wind Turbine Prediction adalah antarmuka perangkat lunak untuk operasi dan pemeliharaan cerdas ladang angin. Antarmuka ini memanfaatkan visualisasi tiga dimensi, simulasi virtual, dan grafik data untuk menampilkan kondisi turbin serta menemukan lokasi gangguan dengan cepat. Model pembelajaran mesin dikonfigurasi dengan cara menarik dan melepaskan data serta pengaturan model, sehingga satu maupun beberapa jenis turbin dapat tercakup. Peringatan gangguan disampaikan rata-rata sekitar dua puluh menit lebih awal, dan akurasi model mencapai 81 persen. Biaya pemeliharaan manual dan risiko keselamatan pun berkurang.
The Recognition
About the A' Design Award Perak
Smart Wind Turbine Prediction Antarmuka Pemeliharaan Prediktif adalah pemenang A' Design Award Perak, pengakuan yang sangat bergengsi yang diberikan kepada desain kelas atas yang indah dan mengesankan. Pemenang Perak adalah karya yang sangat cemerlang dan sangat kreatif yang menggambarkan keahlian, bakat, dan ketajaman luar biasa para desainernya. Smart Wind Turbine Prediction Antarmuka Pemeliharaan Prediktif diharapkan menjadi karya yang menakjubkan, etalase keahlian, sangat profesional, dan sangat inovatif. Desain pemenang A' Design Award Perak ini adalah penemuan yang sangat menonjol dan dikagumi yang bermanfaat bagi dan memajukan batas-batas seni, sains, desain, dan teknologi. Smart Wind Turbine Prediction Antarmuka Pemeliharaan Prediktif adalah kreasi yang sangat dicemburui yang membangkitkan keinginan, membawa perasaan positif, dan memercikkan keheranan dan kekaguman.
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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