Smart Wind Turbine Prediction पूर्वानुमानात्मक-अनुरक्षण-अन्तरापृष्ठम् by 4Paradigm UED is a highly esteemed winner of the very prestigious 2023 A' Design Award रजतपुरस्कारः in अन्तरापृष्ठ, अन्तःक्रिया एवं उपयोक्तृ अनुभव अभिकल्पना Competition Category.
रजतम्अन्तरापृष्ठम्· 2023
Smart Wind Turbine Prediction पूर्वानुमानात्मक-अनुरक्षण-अन्तरापृष्ठम्
Client: Jianxin Technology Co., Ltd
A' Design Award रजतपुरस्कारः Winner in अन्तरापृष्ठम् Category
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The Design
About Smart Wind Turbine Prediction पूर्वानुमानात्मक-अनुरक्षण-अन्तरापृष्ठम्
स्मार्ट-वायुयन्त्र-पूर्वानुमानम् इति पवनक्षेत्राणां बुद्धिमत्-सञ्चालनाय अनुरक्षणाय च निर्मितं सॉफ्टवेयर-अन्तरापृष्ठम् अस्ति। इदम् अन्तरापृष्ठं त्रिआयामी-दृश्यीकरणं, आभासी-अनुकरणं, दत्तांश-आलेखांश्च उपयुज्य वायुयन्त्राणां स्थितिं दर्शयति, दोषान् च शीघ्रं स्थानीकरोति। दत्तांशस्य प्रतिरूपसंयोजनानां च कर्षण-स्थापन-पद्धत्या यन्त्रशिक्षण-प्रतिरूपाणि विन्यस्यन्ते, येन एकस्य बहूनां वा यन्त्रप्रकाराणां आवरणं भवति। दोष-चेतावन्यः औसतेन विंशति-निमेषेभ्यः पूर्वं प्रदीयन्ते, प्रतिरूपस्य शुद्धता च एकाशीति-प्रतिशतं प्राप्नोति। हस्तचालित-अनुरक्षणव्ययाः सुरक्षा-जोखिमाश्च न्यूनीक्रियन्ते।
The Recognition
About the A' Design Award रजतपुरस्कारः
Smart Wind Turbine Prediction पूर्वानुमानात्मक-अनुरक्षण-अन्तरापृष्ठम् A' Design Award रजतपुरस्कारस्य विजेता अस्ति; अयम् अत्यसाधारणतया प्रतिष्ठितः सम्मानः सर्वोच्चश्रेणीयेभ्यः सुन्दरेभ्यः प्रभावशालिभ्यश्चाभिकल्पेभ्यो दीयते। रजतविजेतारोऽतितेजस्विन्योऽत्यन्तं सृजनशीलाश्च कृतयः सन्ति, ताः स्वाभिकल्पकानाम् उत्कृष्टां विशेषज्ञतां प्रतिभां सूक्ष्मप्रज्ञां च प्रदर्शयन्ति। Smart Wind Turbine Prediction पूर्वानुमानात्मक-अनुरक्षण-अन्तरापृष्ठम् अद्भुतं प्रदर्शनीयं कार्यम् उल्लेखनीयतया व्यावसायिकं गम्भीरनवोन्मेषयुक्तं च भविष्यतीति प्रत्याशा क्रियते। A' Design Award रजतपुरस्कारं जितवद् एतद् अभिकल्पकार्यम् अतीवोल्लेखनीयः प्रशंसित आविष्कारोऽस्ति, यो लाभं ददाति कलाया विज्ञानस्याभिकल्पस्य प्रौद्योगिक्याश्च सीमा विस्तारयति च। Smart Wind Turbine Prediction पूर्वानुमानात्मक-अनुरक्षण-अन्तरापृष्ठम् बहुभिरीर्ष्यमाणा सृष्टिरस्ति, या कामना उद्बोधयति, सकारात्मकभावान् आनयति, विस्मयस्य आश्चर्यस्य च स्फुलिङ्गान् प्रज्वालयति।
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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