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Baidu Smart City Babban Allon Nuna Bayanai na Gani by Baidu AI Cloud
Baidu Smart City Babban Allon Nuna Bayanai na Gani by Baidu AI Cloud
Baidu Smart City Babban Allon Nuna Bayanai na Gani by Baidu AI Cloud
Baidu Smart City Babban Allon Nuna Bayanai na Gani by Baidu AI Cloud
Baidu Smart City Babban Allon Nuna Bayanai na Gani by Baidu AI Cloud

Zinariya Yanar Gizo · 2023

Baidu Smart City Babban Allon Nuna Bayanai na Gani

by Baidu AI Cloud

  • Kyautar A' Design Award ta Zinariya 2023 in Yanar Gizo
  • CLIENT: Baidu Online Network Technology (Beijing) Co., Ltd
  • Estimated Number of Design Views: 672,966
  • Verification code 9A63CB38F6 · Verify this award
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About Baidu Smart City Babban Allon Nuna Bayanai na Gani

Baidu Smart City wani babban allon nuna bayanai na gani ne da aka tsara don cibiyoyin umarni na birane a kasar Sin. Taswirori masu fasali uku da sigogin gani suna gabatar da bayanan birni a ainihin lokaci, ta yadda masu gudanarwa za su iya sa ido kan ayyukan birni tare da tallafawa yanke shawara. Basirar wucin gadi tana nazarin hadaddun bayanan birni domin hasashen rikice-rikice da kuma aika kowane aiki zuwa sashen da ke da alhaki. Ana tura ma'aikatan ceto da kayan aikin gaggawa ta hanyar tsarukan sadarwa masu hade da juna. Ana iya sarrafa allon ta hanyar linzami, murya ko kwamfutar hannu, kuma ya dace da manyan na'urorin nuni.

About the Kyautar A' Design Award ta Zinariya

Zanen Baidu Smart City Babban Allon Nuna Bayanai na Gani ya lashe Kyautar A' Design Award ta Zinariya, wata karramawa mai matuƙar daraja da ake bai wa zane-zane na matakin farko, masu ban mamaki kuma na musamman. Waɗanda suka lashe kyautar Zinariya ƙirƙire-ƙirƙire ne masu sababbin abubuwa sosai, masu hangen nesa kuma masu haske mai ban sha'awa waɗanda ke nuna hazaƙa, hikima da ƙwarewar masu zanensu. Ana sa ran zanen Baidu Smart City Babban Allon Nuna Bayanai na Gani ya zama ƙirƙira mai yabo sosai, mai kafa yanayi kuma babba wacce ke kawo ƙima da ba a taɓa ganin irinta ba. Wannan zane da ya lashe Kyautar A' Design Award ta Zinariya aiki ne mai ban mamaki, mai daraja wanda ke amfanar fasaha, kimiyya, zane da fasahar zamani sosai kuma yana kai iyakokinsu gaba. Zanen Baidu Smart City Babban Allon Nuna Bayanai na Gani yana haifar da tsananin sha'awa, yana tada soyayya ga aiki, yana ƙarfafa ƙirƙira kuma yana burge mu.

Press Kit

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
Image Credits
Haoyuan Ma, Jian Yang, Long Cang, Yutong Xiao, 2023

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