Smart Wind Turbine Prediction Ihe Mmekọrịta Maka Mmezi Amụma nke 4Paradigm UED

Ihe emepụtara bụ Smart Wind Turbine Prediction Ihe Mmekọrịta Maka Mmezi Amụma nke 4Paradigm UED bụ onye meriri a na-asọpụrụ nke ukwuu nke 2023 Ihe Nrite A' Design Award nke Ọlaọcha na Udi Asọmpi Nhazi Ihu Ngwá Ọrụ, Mmekọrịta na Ahụmịhe Onye Ọrụ.

ỌlaọchaIhu Ngwá Ọrụ· 2023

Smart Wind Turbine Prediction Ihe Mmekọrịta Maka Mmezi Amụma

nke 4Paradigm UED

Onye Ahịa: Jianxin Technology Co., Ltd

Onye Meriri Ihe Nrite A' Design Award nke Ọlaọcha na Udi Ihu Ngwá Ọrụ

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Gaa Saịtị Lee na A' Design Award Akụkọ Mgbasa Ozi Akara Onyinye

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Nhazi a

Maka Smart Wind Turbine Prediction Ihe Mmekọrịta Maka Mmezi Amụma

Smart Wind Turbine Prediction bụ ihe mmekọrịta ngwanrọ maka ọrụ na mmezi nwere ọgụgụ isi nke ugbo ikuku. Ihe mmekọrịta a na-eji nleba anya akụkụ atọ, ntụgharị anya na-adịghị adị na eserese data iji gosi ọnọdụ igwe ntụgharị ikuku ma chọta ebe nsogbu dị ngwa ngwa. A na-ahazi ụdị mmụta igwe site na ịdọkpụrụ na ịtọgbọ data na ntọala ụdị, nke mere na enwere ike ikpuchi otu ụdị igwe ntụgharị ma ọ bụ ọtụtụ ụdị. A na-ebunye ịdọ aka na ntị maka nsogbu ihe dịka nkeji iri abụọ tupu oge na nkezi, na izi ezi nke ụdị ahụ na-eru pasent 81. A na-ebelata ụgwọ mmezi aka na ihe egwu nchekwa.

Nkwanye Ugwu

Maka Ihe Nrite A' Design Award nke Ọlaọcha

Smart Wind Turbine Prediction Ihe Mmekọrịta Maka Mmezi Amụma meriri A' Design Award nke Ọlaọcha, nnabata dị oke ugwu e nyere design ndị dị n'ọkwa kachasị elu, mara mma ma na-eju anya. Ndị meriri na Ọlaọcha bụ ọrụ na-egbu maramara nke ukwuu ma dị oke nzụlite nke na-egosi ọmarịcha ihe ọmụma, talent na nghọta nke ndị designer ha. A na-atụ anya na Smart Wind Turbine Prediction Ihe Mmekọrịta Maka Mmezi Amụma ga-abụ ọrụ dị ịtụnanya, ihe nlereanya, nke dị oke ọrụ ma dị omimi n'ihe ọhụrụ. Design a meriri A' Design Award nke Ọlaọcha bụ ihe e mepụtara dị oke ịrịba ama, nke a na-eto nke na-erite uru ma na-ebuga oke nka, sayensị, design na teknụzụ n'ihu. Smart Wind Turbine Prediction Ihe Mmekọrịta Maka Mmezi Amụma bụ ihe e kere eke ọtụtụ ndị na-ekwo ekworo ya nke na-akpali ọchịchọ, na-eweta mmetụta ọma ma na-akpali ịtụnanya.

N'azụ Nhazi a

Ngwugwu Mgbasa Ozi

Nkwurịta okwu, ndị otu na nkọwa teknụzụ nke onye nhazi nyere.

Àgwà Pụrụ Iche: 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.
Nha & Mkpuchi: Width 1920 Height 1080
Mkpado: AI System Design , AI , AI Applications , Machine Learning , Modeling , Big Data
Teknụzụ Mmepụta: 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%.
Ịma Aka Imepụta: It also enables more effective use of wind resources and contributes to the global governance effort to combat climate change.
Nchọpụta: It addresses user pain points of high manual operations and maintenance costs and improves operations and maintenance personnel safety and efficiency.
Mkpali: 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.
Oge Ọrụ: The project was completed in Beijing in 2022
Usoro Ọrụ: 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.
Ndị Otu: Design Director：Yun Xu
Design Manager：Wei Wang
Designer：Shaoxiong Bai
Designer：Xinjie Li
Designer：Yanfen Zhang
Asụsụ Foto: Design creativity：Yun Xu , Wei Wang
Interface design: Yanfen Zhang
Interaction design：Xinjie Li
Video Copyright：Shaoxiong Bai