Smart Wind Turbine Prediction Interface għall-Manutenzjoni Predittiva by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 Premju A' Design Award tal-Fidda in Disinn tal-Interfaċċa, Interazzjoni u Esperjenza tal-Utent Competition Category.
FiddaInterfaċċa· 2023
Smart Wind Turbine Prediction Interface għall-Manutenzjoni Predittiva
Client: Jianxin Technology Co., Ltd
Premju A' Design Award tal-Fidda Winner in Interfaċċa Category
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- Verified Award Winner
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The Design
About Smart Wind Turbine Prediction Interface għall-Manutenzjoni Predittiva
Smart Wind Turbine Prediction hija interface ta' softwer għat-tħaddim u l-manutenzjoni intelliġenti ta' impjanti tar-riħ. L-interface tuża viżwalizzazzjoni tridimensjonali, simulazzjoni virtwali u graffs tad-data biex turi l-kundizzjonijiet tat-turbini u biex tillokalizza l-ħsarat malajr. Il-mudelli tat-tagħlim awtomatiku jiġu kkonfigurati billi jinġibdu u jitqiegħdu s-settings tad-data u tal-mudelli, b'mod li jistgħu jiġu koperti tip wieħed jew diversi tipi ta' turbini. It-twissijiet tal-ħsarat jaslu bħala medja madwar għoxrin minuta qabel, u l-preċiżjoni tal-mudell tilħaq il-81 fil-mija. L-ispejjeż tal-manutenzjoni manwali u r-riskji tas-sigurtà jitnaqqsu.
The Recognition
About the Premju A' Design Award tal-Fidda
Smart Wind Turbine Prediction Interface għall-Manutenzjoni Predittiva huwa rebbieħ tal-Premju A' Design Award tal-Fidda, rikonoxximent prestiġjuż straordinarjament mogħti lil disinji tal-ogħla livell, sbieħ u impressjonanti. Ir-rebbieħa tal-Fidda huma xogħlijiet brillanti ħafna u kreattivi ħafna li juru l-għarfien espert, it-talent u l-aċċuratezza tad-disinjaturi tagħhom. Huwa mistenni li Smart Wind Turbine Prediction Interface għall-Manutenzjoni Predittiva ikun xogħol mill-isbaħ, eżemplari, professjonali ħafna u innovattiv bil-fond. Dan id-disinn rebbieħ tal-Fidda huwa invenzjoni notevoli u mammirata li tikkontribwixxi biex jitwessgħu l-fruntieri tal-arti, ix-xjenza, id-disinn u t-teknoloġija. Smart Wind Turbine Prediction Interface għall-Manutenzjoni Predittiva huwa ħolqien li ħafna jinvidjawh, li jqajjem ix-xewqat, iġib sentimenti pożittivi u joħloq tgħaġġib u mistagħġib.
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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