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Baidu Smart City Sikirini Yaikulu Yowonetsera Deta by Baidu AI Cloud

Baidu Smart City Sikirini Yaikulu Yowonetsera Deta by Baidu AI Cloud is a highly esteemed winner of the very prestigious 2023 Mphoto ya Golide ya A' Design Award in Mapangidwe a Tsamba la pa Intaneti ndi pa Intaneti Competition Category.


GolidePa Intaneti· 2023

Baidu Smart City Sikirini Yaikulu Yowonetsera Deta

by Baidu AI Cloud

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

Mphoto ya Golide ya A' Design Award Winner in Pa Intaneti Category

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The Design

About Baidu Smart City Sikirini Yaikulu Yowonetsera Deta

Baidu Smart City ndi sikirini yaikulu yowonetsera deta yopangidwira malo olamulira mizinda ku China. Mamapu a mbali zitatu ndi matchati owoneka amawonetsa deta ya mzinda nthawi yomweyo, kotero oyang'anira amatha kuwunika mmene mzinda ukuyendera ndi kuthandiza pochita zisankho. Nzeru zopangira (artificial intelligence) zimasanthula deta yophatikizidwa ya mzinda kuti zilosere zavuto ndi kutumiza ntchito iliyonse ku dipatimenti yoyenera. Antchito opulumutsa ndi zida zothandizira mwadzidzidzi zimatumizidwa kudzera m'makina olumikizirana ogwirizana. Sikiriniyi ikhoza kugwiritsidwa ntchito ndi mbewa (mouse), mawu kapena tabuleti, ndipo imayenera zipangizo zowonetsera zazikulu.

The Recognition

About the Mphoto ya Golide ya A' Design Award

Baidu Smart City Sikirini Yaikulu Yowonetsera Deta ndi mmodzi mwa opambana a Mphoto ya Golide ya A' Design Award, kuzindikirika kolemekezeka kwambiri komwe kumaperekedwa kwa mapangidwe a pamwamba, odabwitsa ndi odziwika. Opambana a Golide ndi zolengedwa zatsopano kwambiri, zoona patali ndi zonyezimira zomwe zimaonetsa luntha, nzeru ndi luso la opanga awo. Baidu Smart City Sikirini Yaikulu Yowonetsera Deta akuyembekezeka kukhala chopangidwa chotamandidwa kwambiri, chokhazikitsa zochitika ndi chachikulu chomwe chimabweretsa phindu losawonekapo kale. Mapangidwe opambana Mphoto ya Golide ya A' Design Award awa ndi ntchito yodabwitsa, yolemekezeka yomwe imapindulitsa kwambiri ndi kukulitsa malire a luso, sayansi, kapangidwe ndi ukadaulo. Baidu Smart City Sikirini Yaikulu Yowonetsera Deta amabweretsa zilakolako zamphamvu, kudzutsa chidwi, kulimbikitsa luso lolenga ndi kutikopa.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties
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.
Dimensions & Packaging
Applicable to all large-screen devices, including LCD splicing screens, LED integrated screens, large touch screens, external monitors, etc.
Tags
Smart City IOC, Urban Emergency, Crisis Early arning, Surveillance Data, Data Visualization Large Screen, Digital Office Worker, City Digital Twin, AI
Production Technology
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.
Design Challenge
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.
Research
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.
Inspiration
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.
Project Duration
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.
Operation Flow
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.
Patents
Computer Software Copyrights belong to Baidu Online Network Technology (Beijing) Co., Ltd, 2021, 2022
Copyright ID: 2022SR0191358, 2022SR191355, 2022SR191356, 2022SR191357, 2022SR0954102, 2022SR0954110, 2022SR0954104, 2022SR0954105
Team Members
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
Image Credits
Haoyuan Ma, Jian Yang, Long Cang, Yutong Xiao, 2023

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