Hiriwa Atanga · 2023
Smart Wind Turbine Prediction Atanga Tiaki Matapae
- A' Design Award Hiriwa 2023 in Atanga
- 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 Atanga Tiaki Matapae
Ko te Smart Wind Turbine Prediction he atanga pūmanawa mō te whakahaere atamai me te tiaki i ngā pāmu hau. Ka whakamahi te atanga i te whakaaturanga ahu-toru, te whakatauira mariko me ngā kauwhata raraunga hei whakaatu i ngā āhuatanga o ngā pūhuri hau, hei kimi tere hoki i ngā hapa. Ka whirihorahia ngā tauira ako miihini mā te tō me te tuku i ngā raraunga me ngā tautuhinga tauira, nō reira ka taea te kapi i te momo pūhuri kotahi, i ngā momo pūhuri maha rānei. Ka tukuna ngā whakatūpato hapa i te rua tekau meneti i mua, hei toharite, ā, ka eke te tika o te tauira ki te 81 ōrau. Ka whakahekea ngā utu tiaki ā-ringa me ngā tūraru haumaru.
About the A' Design Award Hiriwa
Ko Smart Wind Turbine Prediction Atanga Tiaki Matapae te toa o te A' Design Award Hiriwa, he whakaaetanga tino whai mana e hoatu ana ki ngā hoahoa taumata teitei rawa, ātaahua me te whakamīharo. Ko ngā toa Hiriwa he mahi tino kanapa, tino auaha e whakaatu ana i te mātanga, te pūmanawa me te mōhio hōhonu o ā rātou kaihoahoa. E tūmanakohia ana ko Smart Wind Turbine Prediction Atanga Tiaki Matapae he mahi whakamīharo, he tauira, he tino ngaio, he auaha hōhonu. Ko tēnei hoahoa i toa i te Hiriwa he hanganga rongonui, whakamīharotia e whai wāhi ana ki te whakawhānui i ngā rohe o te toi, te pūtaiao, te hoahoa me te hangarau. Ko Smart Wind Turbine Prediction Atanga Tiaki Matapae he mahi e hae ana te tini, e whakaara ana i ngā hiahia, e kawe mai ana i ngā kare-ā-roto pai, ā, e whakaoho ana i te mīharo.
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
