Neidio i'r cynnwys
Baidu Smart City Sgrin Fawr Delweddu Data gan Baidu AI Cloud

Mae Baidu Smart City Sgrin Fawr Delweddu Data gan Baidu AI Cloud yn enillydd uchel ei barch o'r 2023 Gwobr Aur A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Gwe.


AurGwe· 2023

Baidu Smart City Sgrin Fawr Delweddu Data

gan Baidu AI Cloud

Cleient: Baidu Online Network Technology (Beijing) Co., Ltd

Enillydd Gwobr Aur A' Design Award yn y Categori Gwe

674,242

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #149175

Lliwiau

Y Dyluniad

Am Baidu Smart City Sgrin Fawr Delweddu Data

Sgrin fawr delweddu data yw Baidu Smart City a ddyluniwyd ar gyfer canolfannau rheoli dinasoedd yn Tsieina. Mae mapiau tri dimensiwn a siartiau gweledol yn cyflwyno data trefol mewn amser real, fel y gall gweinyddwyr fonitro gweithrediadau'r ddinas a chefnogi penderfyniadau. Mae deallusrwydd artiffisial yn dadansoddi data integredig y ddinas i ragweld argyfyngau ac i anfon pob tasg at yr adran gyfrifol. Caiff personél achub ac offer brys eu hanfon drwy systemau cyfathrebu cysylltiedig. Gellir gweithredu'r sgrin drwy lygoden, llais neu dabled, ac mae'n addas ar gyfer dyfeisiau arddangos mawr.

Y Gydnabyddiaeth

Am y Gwobr Aur A' Design Award

Mae Baidu Smart City Sgrin Fawr Delweddu Data yn enillydd Gwobr Aur A' Design Award, cydnabyddiaeth aruthrol o fawreddog a roddir i ddyluniadau o'r radd flaenaf, rhyfeddol a rhagorol. Mae enillwyr Aur yn greadigaethau hynod arloesol, gweledigaethol a disglair o ysblennydd sydd yn adlewyrchu athrylith, doethineb a medrusrwydd eu dylunwyr. Disgwylir i Baidu Smart City Sgrin Fawr Delweddu Data fod yn ddyfais hynod glodfawr, arloesol a chofadwy sydd yn cyflwyno gwerth digynsail. Mae'r dyluniad buddugol hwn o Wobr Aur A' Design Award yn brosiect ysblennydd a pharchus sydd yn elwa yn fawr ac yn symud ymlaen ffiniau celf, gwyddoniaeth, dylunio a thechnoleg. Mae Baidu Smart City Sgrin Fawr Delweddu Data yn creu teimladau dwys o ddyhead, yn cynhyrfu angerdd, yn annog creadigrwydd ac yn ein cyfareddu.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw
This large screen is designed for the command centers of various cities in China, which satisfies the government to monitor the urban situation through three-dimensional maps and visual charts and assist in decision-making. Use AI to analyze and predict cities' crisis to prevent great damage in time. Quickly dispatch rescue personnel and emergency equipments through communication systems and intelligent interaction capabilities to efficiently solve urban emergencies.
Dimensiynau a Phecynnu
Applicable to all large-screen devices, including LCD splicing screens, LED integrated screens, large touch screens, external monitors, etc.
Tagiau
Smart City IOC, Urban Emergency, Crisis Early arning, Surveillance Data, Data Visualization Large Screen, Digital Office Worker, City Digital Twin, AI
Technoleg Cynhyrchu
Based on the space-time grid search engine, the product can quickly retrieve specific information to assist government decisions. Integrate city data and digital twin to monitor city operations and predict crises through AI. While based on the world's leading deep learning technology, we also create intelligent interaction capabilities such as speech recognition and digital office worker.
Her Dylunio
Intelligent Interactions:
The Pad Control and Voice Control are designed for interacting with the screen, improving the efficiency of city management.
Digital Office Worker:
Aiming at the difficulty of large-screen explainers' holiday work and high repetitive tasks, we design the digital worker who can clarify and monitor the city/district overview.
Visible City levels:
Each city level pictures different map perspectives and personalized smart data, such as the city's macro situation, the public livelihood and opinion in one area, and the hidden dangers of street safety.
Ymchwil
The product is for urban governance. We analyze the latest government policies and conduct user interviews with urban managers to summarize product design needs.
For example, in the Lijiang epidemic prevention and control project, the objects of our user research include the mayor of Lijiang and the director of the Lijiang Epidemic Prevention Headquarters. We found that real-time analysis and visualization of epidemic data help the government grasp the comprehensive situation of the epidemic and provide a reference for epidemic prevention decision-making.
Ysbrydoliaeth
The daily operation of China's 691 cities requires governments' scientific management and flexible scheduling. When city crises come, the governments need an intelligent management tool to conduct cross-departmental command effectively, obtain a large amount of data to monitor the city operation, and dispatch the surrounding shelters, hospitals, or other emergency supplies, to protect civilian populations.
Hyd y Prosiect
Begin the product development in January 2020. Since March 2021, 8 projects have been launched in 5 Chinese cities, including Beijing Haidian District City Brain, Kunming Guandu District City Brain, Chengdu City Brain, etc.
Llif Gweithrediad
Comprehensive city services are pictured on the large screen for government administrators to monitor real-time data and control the latest urban crisis. Meanwhile, users can actively use the mouse/voice/Pad to initiate conversations with area offices on the screen for task distribution and resource scheduling, or the system can determine the type of crisis based on AI and automatically distribute them to the corresponding departments. Each task progresses will also be feedbacked to realize the closed-loop governance and city security.
Patentau
Computer Software Copyrights belong to Baidu Online Network Technology (Beijing) Co., Ltd, 2021, 2022
Copyright ID: 2022SR0191358, 2022SR191355, 2022SR191356, 2022SR191357, 2022SR0954102, 2022SR0954110, 2022SR0954104, 2022SR0954105
Aelodau'r Tîm
Tingting Wang
Haoyuan Ma
Yutong Xiao
Jian Yang
Long Cang
Youping Yu
Shuangshuang Lou
Ningning He
Duo Yang
Ke Sun
Zhejia Zhang
Miaodan Fang
Xin Guo
Zhangyu Gu
Ningqian Ma
Wei Wang
Lu Zhang
Cydnabyddiaeth Delweddau
Haoyuan Ma, Jian Yang, Long Cang, Yutong Xiao, 2023

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