4Paradigm UED tomonidan Smart Wind Turbine Prediction Bashoratli texnik xizmat interfeysi

4Paradigm UED tomonidan yaratilgan Smart Wind Turbine Prediction Bashoratli texnik xizmat interfeysi — Interfeys, Interaktiv va Foydalanuvchi Tajribasi Dizayni tanlov toifasida nufuzli 2023 A' Design Award Kumush Mukofoti mukofotining yuqori baholangan g'olibidir.

KumushInterfeys· 2023

Smart Wind Turbine Prediction Bashoratli texnik xizmat interfeysi

muallif: 4Paradigm UED

Mijoz: Jianxin Technology Co., Ltd

Interfeys toifasida A' Design Award Kumush Mukofoti g'olibi

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Tasdiqlangan mukofot g'olibi

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Saytga tashrif A' Design Award saytida ko'rish Press-reliz Mukofot nishoni

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Dizayn

Smart Wind Turbine Prediction Bashoratli texnik xizmat interfeysi haqida

Smart Wind Turbine Prediction — shamol elektr stansiyalarini aqlli boshqarish va texnik xizmat ko'rsatish uchun mo'ljallangan dasturiy interfeys. Interfeys turbinalarning holatini ko'rsatish va nosozliklarni tezda aniqlash uchun uch o'lchamli vizualizatsiya, virtual simulyatsiya va ma'lumotlar grafiklaridan foydalanadi. Mashinali o'rganish modellari ma'lumotlar va model sozlamalarini sudrab olib tashlash orqali sozlanadi, shu tufayli bitta yoki bir nechta turbina turlarini qamrab olish mumkin. Nosozlik haqidagi ogohlantirishlar o'rtacha yigirma daqiqa oldinroq yetkaziladi, model aniqligi esa 81 foizga yetadi. Qo'lda texnik xizmat ko'rsatish xarajatlari va xavfsizlik xatarlari kamayadi.

Tan olinish

A' Design Award Kumush Mukofoti haqida

Smart Wind Turbine Prediction Bashoratli texnik xizmat interfeysi A' Design Award Kumush Mukofotining g‘olibi bo‘lib, bu go‘zal, ulug‘vor va ta’sirchan eng yuqori darajadagi dizaynlarga beriladigan favqulodda nufuzli e’tirofdir. Kumush g‘oliblari o‘z dizaynerlarining ajoyib mahorati, iste’dodi va o‘tkirligini ko‘rsatuvchi juda yorqin va o‘ta ijodiy asarlardir. Smart Wind Turbine Prediction Bashoratli texnik xizmat interfeysi ajoyib, namunaviy, diqqatga sazovor darajada kasbiy va chuqur innovatsion asar bo‘lishi kutiladi. A' Design Award Kumush Mukofotini qo‘lga kiritgan ushbu dizayn san’at, fan, dizayn va texnologiya chegaralarini kengaytiruvchi juda e’tiborga loyiq, tahsinga sazovor ixtirodir. Smart Wind Turbine Prediction Bashoratli texnik xizmat interfeysi ko‘pchilik havas qiladigan, istaklarni uyg‘otadigan, ijobiy tuyg‘ular olib keladigan hamda hayrat va ajablanish uyg‘otadigan ijoddir.

Dizayn ortida

Press-kit

Dizayner tomonidan taqdim etilgan kreditlar, jamoa a'zolari va texnik tafsilotlar.

Noyob xususiyatlar: 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.
O'lchamlar va qadoqlash: Width 1920 Height 1080
Teglar: AI System Design , AI , AI Applications , Machine Learning , Modeling , Big Data
Ishlab chiqarish texnologiyasi: 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%.
Dizayn muammosi: It also enables more effective use of wind resources and contributes to the global governance effort to combat climate change.
Tadqiqot: It addresses user pain points of high manual operations and maintenance costs and improves operations and maintenance personnel safety and efficiency.
Ilhom: 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.
Loyiha muddati: The project was completed in Beijing in 2022
Ish jarayoni: 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.
Jamoa a'zolari: Design Director：Yun Xu
Design Manager：Wei Wang
Designer：Shaoxiong Bai
Designer：Xinjie Li
Designer：Yanfen Zhang
Rasm mualliflari: Design creativity：Yun Xu , Wei Wang
Interface design: Yanfen Zhang
Interaction design：Xinjie Li
Video Copyright：Shaoxiong Bai