Smart Wind Turbine Prediction Mawonekedwe Olosera Zakukonza ndi 4Paradigm UED

Dizayini ya Smart Wind Turbine Prediction Mawonekedwe Olosera Zakukonza ndi 4Paradigm UED ndi wopambana wotamandika kwambiri pa mphotho yaulemu ya 2023 Mphoto ya Siliva ya A' Design Award mu Gawo la Mpikisano la Mapangidwe a Mawonekedwe, Kulumikizana ndi Zokumana ndi Ogwiritsa Ntchito.

SilivaMawonekedwe· 2023

Smart Wind Turbine Prediction Mawonekedwe Olosera Zakukonza

ndi 4Paradigm UED

Kasitomala: Jianxin Technology Co., Ltd

Wopambana pa Mphoto ya Siliva ya A' Design Award mu Gawo la Mawonekedwe

53,044

Wopambana Wotsimikizidwa

Tsimikizani Mkhalidwe wa Mphotho ya #141912

Pitani ku Tsamba Onani ku A' Design Award Nkhani Yofalitsidwa Chizindikiro cha Mphotho

Mitundu

Kapangidwe

Za Smart Wind Turbine Prediction Mawonekedwe Olosera Zakukonza

Smart Wind Turbine Prediction ndi mawonekedwe a pulogalamu yothandizira kuyendetsa ndi kukonza mwanzeru minda ya makina opangira magetsi ndi mphepo. Mawonekedwewa amagwiritsa ntchito zithunzi za mbali zitatu, kutsanzira kwachiphamaso ndi magirafu a deta kusonyeza momwe makina alili komanso kupeza zolakwika mwachangu. Mitundu ya makina ophunzira okha imakonzedwa pokoka ndi kuyika deta ndi zokonza za mtundu wa makina, kotero kuti mtundu umodzi kapena mitundu yambiri ya makina opangira magetsi ndi mphepo ingaphimbidwe. Zochenjeza za zolakwika zimaperekedwa pafupifupi mphindi makumi awiri m'mbuyomu pa avareji, ndipo kulondola kwa mtundu wa makina kumafika pa 81 peresenti. Ndalama zokonzera pamanja ndi zoopsa za chitetezo zimachepetsedwa.

Chidziwitso

Za Mphoto ya Siliva ya A' Design Award

Smart Wind Turbine Prediction Mawonekedwe Olosera Zakukonza ndi mmodzi mwa opambana a Mphoto ya Siliva ya A' Design Award, kuzindikirika kolemekezeka modabwitsa komwe kumaperekedwa kwa mapangidwe a pamwamba, okongola ndi ochititsa chidwi. Opambana a Siliva ndi ntchito zowala kwambiri ndi zolenga kwambiri zomwe zimaonetsa ukatswiri, luso ndi nzeru zakuthwa za opanga awo. Smart Wind Turbine Prediction Mawonekedwe Olosera Zakukonza akuyembekezeka kukhala ntchito yodabwitsa yoonetsedwa, yaukatswiri wapadera ndi yatsopano kwambiri. Mapangidwe opambana Mphoto ya Siliva ya A' Design Award awa ndi chopangidwa chodziwika kwambiri ndi choyamikiridwa chomwe chimapindulitsa ndi kukulitsa malire a luso, sayansi, kapangidwe ndi ukadaulo. Smart Wind Turbine Prediction Mawonekedwe Olosera Zakukonza ndi cholengedwa chomwe anthu ambiri amachichitira nsanje, chomwe chimadzutsa zilakolako, kubweretsa maganizo abwino ndi kuyatsa kudabwa ndi chidwi.

Kumbuyo kwa Kapangidwe

Katundu wa Atolankhani

Umboni, mamembala a gulu ndi zambiri zapadera zoperekedwa ndi wopanga.

Makhalidwe Apadera: 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.
Miyezo ndi Kuphimba: Width 1920 Height 1080
Zizindikiro: AI System Design , AI , AI Applications , Machine Learning , Modeling , Big Data
Teknoloji Yopangira: 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%.
Vuto la Dizayini: It also enables more effective use of wind resources and contributes to the global governance effort to combat climate change.
Kafukufuku: It addresses user pain points of high manual operations and maintenance costs and improves operations and maintenance personnel safety and efficiency.
Chilimbikitso: 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.
Nthawi ya Polojekiti: The project was completed in Beijing in 2022
Mdondomeko ya Ntchito: 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.
Mamembala a Gulu: Design Director：Yun Xu
Design Manager：Wei Wang
Designer：Shaoxiong Bai
Designer：Xinjie Li
Designer：Yanfen Zhang
Mwini Zithunzi: Design creativity：Yun Xu , Wei Wang
Interface design: Yanfen Zhang
Interaction design：Xinjie Li
Video Copyright：Shaoxiong Bai