Datalense Ìfihàn Dátà láti ọwọ́ Yu Guo jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2025 Àmì-ẹ̀yẹ Pílátínọ́mù A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ojú-ìbáṣepọ̀, Ìbáṣepọ̀ àti Ìrírí Olùlò.

Pílátínọ́mùOjú-ìbáṣepọ̀· 2025

Datalense Ìfihàn Dátà

látọ̀wọ́ Yu Guo

Oníbàárà: Alibaba Cloud (Beijing) Technology Co., Ltd.

Aṣẹ́gun Àmì-ẹ̀yẹ Pílátínọ́mù A' Design Award nínú Ẹ̀ka Ojú-ìbáṣepọ̀

973,100

Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí

Jẹ́rìísí Ipò Àmì Ẹ̀yẹ fún #162927

Ṣàbẹ̀wò Ojú Òpó Wo ní A' Design Award Ìwé Ìròyìn Àmì Ẹ̀yẹ

Àwọ̀

Àpẹrẹ Náà

Nípa Datalense Ìfihàn Dátà

Ètò yìí, tí a dapọ̀ mọ́ 3D GIS àti ìmọ̀-ẹ̀rọ ìṣàfilọ́lẹ̀ àkókò-gidi, ti kọ́ ètò ìfihàn kan tí ó dapọ̀ ẹwà àdáyébá pẹ̀lú àpẹẹrẹ ìgbàlódé. Ibòjú ńlá alájọṣepọ̀ tí ó gùn tó mítà méjìdínlógún, tí a fi AI pèsè é, ń dáhùn sí oríṣiríṣi àwọn àsìkò oòrùn àti àjọ̀dún, ó sì ń yi àwọn ibi dijítà padà láti ṣẹ̀dá ìrírí kíkà àrìnrinà. Lílo àfiwéra 3D àti ìmọ̀-ẹ̀rọ ìbejì dijítà ń mú ìrírí ìbáṣepọ̀ olùlò dára sí i. Àpẹẹrẹ yìí kò wà pé ó ń ṣe ìgbélarugẹ pàṣípààrọ̀ àṣà nìkan, ó tún ń ṣàfihàn ìṣèdálèdè àti ìlọsíwájú ilé-ìkàwé nínú ìlànà ìdàgbàsókè ọlọ́gbọ́n.

Ìdánimọ̀ Náà

Nípa Àmì-ẹ̀yẹ Pílátínọ́mù A' Design Award

Datalense Ìfihàn Dátà jẹ́ olùborí Àmì-ẹ̀yẹ Pílátínọ́mù A' Design Award, ìdánimọ̀ olókìkí gan-an tí a fún àwọn àwòṣe tó jẹ́ àrà ọ̀tọ̀ nítòótọ́, tó dára tó sì lọ́lá. Àwọn olùborí Pílátínọ́mù jẹ́ ìyanu ẹ̀dá, ẹ̀rí ààlà ìmọ̀ ẹ̀dá ọgbọ́n orí, wọ́n sì ń fi ìjáfáfá àti ọgbọ́n àìlẹ́gbẹ́ àwọn olùṣàwòṣe wọn hàn. A retí pé àwọn àwòṣe wọ̀nyí yóò jẹ́ àwọn iṣẹ́ tó lókìkí jùlọ tó ń ṣàlàyé ẹwà àkókò, tó ń ṣe àfikún sí ìlera àwùjọ tí wọ́n sì ń tì ààlà iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ síwájú. Datalense Ìfihàn Dátà ń fi ìpele ìjáfáfá tó kọjá ààlà hàn, ó sì ń sọ ayé di ibi tó dára jù láìsí iyèméjì nípasẹ̀ àwọn ànímọ́ rẹ̀ tó ṣàǹfààní tó sì ṣeyebíye. Datalense Ìfihàn Dátà jẹ́ iṣẹ́ tó borí Àmì-ẹ̀yẹ Pílátínọ́mù A' Design Award tó ń jí ìfẹ́ inú, tó ń fún ní ìmísí, tó ń mú láyọ̀ tó sì ń bí ayọ̀ ńlá.

Lẹ́yìn Àpẹrẹ Náà

Àkójọ Ìròyìn

Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.

Àwọn Ohun Àkànṣe: Datalense is a custom-built intelligent data system for Beijing City Library, showcased on an 18-meter-wide, 3-meter-tall interactive screen. Its UI design integrates natural elements with technology: data panels are shaped like valleys, icons and charts resemble plants, and the color palette is inspired by the changing seasons of mountain landscapes. Functionally, users can interact with biomimetic building models to virtually explore the library, accessing real-time information on exhibitions, collections, air quality, and visitor density.
Ìwọ̀n àti Àpò: 3D GIS, Real-time Rendering, AI Technology, Data Mapping, 3D Simulation, Smart Building Integration, and Multi-Touch Feedback
Àwọn Àkọlé: DataV, CityV, System Design, Multilevel Visualization, AIGC
Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀: The system software, based on Alibaba Cloud's DataV and built with modular design, uses the in-house CityV engine to create digital twin scenarios with real-time rendering. The hardware features a large physical screen and radar sensors for dynamic data interaction. The design team employed tools like Unreal Engine, C4D, 3DMax, AE, and Sketch to develop UI panels, 3D models, and animations. Additionally, AIGC technology is integrated to display visual effects changes, such as day/night cycles, seasons, and holiday themes.
Ìpèníjà Àpèsè: Based on the Beijing City Library's concept of "reading diligently under trees amidst mountains," the team aimed to create a harmonious "space-data-people" design. Given the screen's location connecting the subway and library entrance, with high and dense foot traffic, the design ensures efficient information delivery within seconds while allowing readers to easily interpret vast macro-data from any angle. It aligns with spatial aesthetics and supports "touch gestures + tablet" operations to meet diverse scenario needs.
Ìwádìí: The data visualization system is a key step in the library's digital transformation. By making static data dynamic and spatial, it allows readers to easily connect different data dimensions and gain deeper insights. Developed using DataV, the system was created through collaboration between designers, business experts, and engineers. It brings library information to life, delivering a fresh, interactive reading experience in a more three-dimensional, concise, and innovative way.
Ìmísí: With the rise of fragmented information on mobile devices, such as short videos, the number of readers engaging in deep reading in libraries has significantly declined. To reshape perceptions of reading and libraries and create a new image for these institutions, the design team has introduced an innovative smart data system at the library entrance. This system, displayed on a massive interactive screen, leverages data visualization and cutting-edge design to attract more visitors and enhance their experience.Inspired by the nostalgic memories of reading under trees, on lawns, and in nature, the system seamlessly integrates information technology with natural landscape elements. For the UI design, seasonal themes such as spring, summer, autumn, and winter, along with natural motifs like valleys and streams, are incorporated. For the UX design, multidimensional data is bound to architectural models, allowing readers to explore highly detailed representations of terraced fields, ginkgo forests, and more. By interacting with the screen, users can access information about various library areas, including themed exhibitions, book collections, lecture events, and special displays, as well as real-time monitoring data such as visitor flow, air quality, temperature, and humidity.
Àkókò Iṣẹ́ Àkànṣe: This project was officially launched on January 16, 2024, and has been running ever since. It will continue to operate and upgrade in line with the development of the library. The project is located in the Beijing City Library, Tongzhou District, Beijing, China.
Ìlànà Ìṣiṣẹ́: Readers can remotely switch and view screen content via Pad terminals. Clicking on the screen to select a target module triggers dynamic data scenes on the large display, supporting custom theme and scene transitions. In close-range interaction mode, the system allows multiple users to engage in real-time, with touchscreen actions generating localized data pop-ups and animated feedback. During idle periods, the screen automatically plays preset scripts, showcasing vast dynamic data in a system that blends technology with natural aesthetics.
Àwọn Ọmọ Ẹgbẹ́: Yu Guo
Xu Zhang
ShuHao Liu
Yue Gao
JiaWei Ding
Ting Li
SanYao Tang
YiYang Li
YuJuan Huang
YongQi Zhang
XingQiang Huang
XiaoXi Cheng
Di Liu
Zibiao Liu
Hanying Yue