Smart Wind Turbine Prediction Agrudem n Usenqed Uzwir n Temsismelt sɣur 4Paradigm UED d anerbaz yettwaqadren meqqren n 2023 Tarbaḥt A' Design Award n Lfeṭṭa deg Taggayt n Tnaflit n Afeṣṣel n Ugrudem, Amyigaw d Tarmit n Useqdac.
LfeṭṭaAgrudem· 2023
Smart Wind Turbine Prediction Agrudem n Usenqed Uzwir n Temsismelt
sɣur 4Paradigm UED
Amsaɣ: Jianxin Technology Co., Ltd
Anerbaz n Tarbaḥt A' Design Award n Lfeṭṭa deg Taggayt n Agrudem
Anerbaz n Urraz Yettwasenqden
Senqed Addad n Urraz i #141912Afeṣṣel
Ɣef Smart Wind Turbine Prediction Agrudem n Usenqed Uzwir n Temsismelt
Smart Wind Turbine Prediction d agrudem n useɣẓan i uselḥu d temsismelt tuḥriṣt n yigran n waḍu. Agrudem-a yesseqdac askan s kraḍ n tsektiwin, tulmisin tuhlisin akked wudlifen n yisefka iwakken ad d-isken addad n turbinat n waḍu yerna ad d-yaf leɛyub s tɣawla. Timudmiwin n ulmad n tmacinin ttwaswaḍent s uzuɣer d users n yisefka akked yiɣewwaṛen n tmudmit, ihi zemrent ad ɣummen yiwen n wanaw neɣ ddeqs n wanawen n turbinat. Ilɣuyen n leɛyub ttwaznen s uzwir n wazal n ɛecrin n tesdatin di tegnit talemmast, ma d tseddi n tmudmit tewweḍ ɣer 81 deg tmiḍi. Isurifen n temsismelt s ufus akked lweɛṛat n tɣellist ttwasenqasen.
Asmekti
Ɣef Tarbaḥt A' Design Award n Lfeṭṭa
Smart Wind Turbine Prediction Agrudem n Usenqed Uzwir n Temsismelt d amerbaḥ n Tarbaḥt A' Design Award n Lfeṭṭa, tagmat ɛlayen i yisnulfa yelhan, yeḥlan s waṭas. Imerbaḥen n Lfeṭṭa d isnulfa yelhan akk, yesɛan tmusni d tazmert. Smart Wind Turbine Prediction Agrudem n Usenqed Uzwir n Temsismelt ad yili d asnulfu amaynut, yelhan, ad yeǧǧ ddunit tennuɣ.
Deffir n ufeṣṣel
Tagrurt n tɣamsa
Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.
- Taɣara Tasuft
- 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.
- Tigejdiwin & Akemmus
- Width 1920 Height 1080
- Tibzimin
- AI System Design , AI , AI Applications , Machine Learning , Modeling , Big Data
- Tasnakta n Ufares
- 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%.
- Asewḥel n Usnulfu
- It also enables more effective use of wind resources and contributes to the global governance effort to combat climate change.
- Anadi
- It addresses user pain points of high manual operations and maintenance costs and improves operations and maintenance personnel safety and efficiency.
- Aseḥbiber
- 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.
- Tanzagt n Usenfar
- The project was completed in Beijing in 2022
- Tanila n Umahil
- 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.
- Igmamen n Terbaɛt
- Design Director：Yun Xu
Design Manager：Wei Wang
Designer：Shaoxiong Bai
Designer：Xinjie Li
Designer：Yanfen Zhang - Imsuren n Tugniwin
- Design creativity：Yun Xu , Wei Wang
Interface design: Yanfen Zhang
Interaction design：Xinjie Li
Video Copyright：Shaoxiong Bai
Yettwaxellṣen
Snirem Seld Designers.org
Af-d iferdisen, imeẓla d tegnatin sɣur yimɛawnen-nneɣ n usissen.
Ugar i tifin
Ifeṣṣelen yemcudden
Snirem ugar n ifeṣṣelen yewwin ammud seg twennaḍt-nni kan, ttwaferzent s lmeɛna.
