Datalense তথ্য দৃশ্যায়ন by Yu Guo is a highly esteemed winner of the very prestigious 2025 A' Design Award প্লেটিনাম বঁটা in ইণ্টাৰফেচ, ইণ্টাৰেকশ্বন আৰু ব্যৱহাৰকাৰী অভিজ্ঞতা ডিজাইন Competition Category.

প্লেটিনামইণ্টাৰফেচ· 2025

Datalense তথ্য দৃশ্যায়ন

by Yu Guo

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

A' Design Award প্লেটিনাম বঁটা Winner in ইণ্টাৰফেচ Category

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Colors

The Design

About Datalense তথ্য দৃশ্যায়ন

এই ব্যৱস্থাটো 3D GIS আৰু প্ৰকৃত-সময় ৰেণ্ডাৰিং প্ৰযুক্তিৰ সৈতে সংযুক্ত কৰি, প্ৰাকৃতিক সৌন্দৰ্যবোধ আৰু আধুনিক ডিজাইনক সংযুক্ত কৰা এক দৃশ্যায়ন ব্যৱস্থা নিৰ্মাণ কৰিছে। ১৮ মিটাৰ দীঘল আন্তঃক্ৰিয়াশীল বৃহৎ পৰ্দা, যিটো এআইৰ সৈতে সজ্জিত, বিভিন্ন ঋতু পৰ্যায় আৰু উৎসৱৰ প্ৰতি সঁহাৰি জনায় আৰু ডিজিটেল দৃশ্যবোৰ পৰিৱৰ্তন কৰি এক নিমজ্জনকাৰী পঠন অভিজ্ঞতা সৃষ্টি কৰে। ত্ৰিমাত্ৰিক সিমুলেচন আৰু ডিজিটেল টুইন প্ৰযুক্তিৰ প্ৰয়োগে ব্যৱহাৰকাৰী আন্তঃক্ৰিয়া অভিজ্ঞতা বৃদ্ধি কৰে। এই ডিজাইনে কেৱল সাংস্কৃতিক বিনিময় প্ৰসাৰিত নকৰে বৰঞ্চ বুদ্ধিমান উন্নয়নৰ প্ৰক্ৰিয়াত পুথিভঁৰালৰ নৱপ্ৰৱৰ্তন আৰু অগ্ৰগতিকো প্ৰতিফলিত কৰে।

The Recognition

About the A' Design Award প্লেটিনাম বঁটা

Datalense তথ্য দৃশ্যায়ন A' Design Award প্লেটিনাম বঁটাৰ বিজয়ী, যি সঁচাকৈয়ে ব্যতিক্ৰমী, মাৰ্জিত আৰু মহিমামণ্ডিত ডিজাইনক প্ৰদত্ত এক অতি সন্মানজনক স্বীকৃতি। প্লেটিনাম বিজয়ীসকল সৃষ্টিৰ আশ্চৰ্য, বৌদ্ধিক সৃজনশীলতাৰ সীমাৰ সাক্ষ্য, আৰু সিহঁতে সিহঁতৰ ডিজাইনাৰসকলৰ অতুলনীয় পেছাদাৰিত্ব আৰু প্ৰতিভা প্ৰদৰ্শন কৰে। এই ডিজাইনবোৰ আটাইতকৈ খ্যাতিমান কৰ্ম হোৱাৰ আশা কৰা হয়, যিয়ে এটা যুগৰ নান্দনিকতা নিৰ্ধাৰণ কৰে, সমাজৰ কল্যাণত অৰিহণা যোগায় আৰু শিল্পকলা, বিজ্ঞান, ডিজাইন আৰু প্ৰযুক্তিৰ সীমানা প্ৰসাৰিত কৰে। Datalense তথ্য দৃশ্যায়ন উৎকৰ্ষৰ এক অসামান্য স্তৰ প্ৰদৰ্শন কৰে আৰু ইয়াৰ সুবিধাজনক আৰু মূল্যৱান বৈশিষ্ট্যৰ দ্বাৰা নিঃসন্দেহে বিশ্বখনক অধিক ভাল ঠাই কৰি তোলে। Datalense তথ্য দৃশ্যায়ন এনে এটা কৰ্ম, যিয়ে A' Design Award প্লেটিনাম বঁটা জয় কৰিছে আৰু যিয়ে আকাংক্ষা জগাই তোলে, অনুপ্ৰাণিত কৰে, উদ্দীপিত কৰে আৰু বিপুল আনন্দৰ স্ফুলিংগ জ্বলায়।

Behind the Design

Press Kit

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

Unique Properties: 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.
Dimensions & Packaging: 3D GIS, Real-time Rendering, AI Technology, Data Mapping, 3D Simulation, Smart Building Integration, and Multi-Touch Feedback
Tags: DataV, CityV, System Design, Multilevel Visualization, AIGC
Production Technology: 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.
Design Challenge: 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.
Research: 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.
Inspiration: 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.
Project Duration: 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.
Operation Flow: 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.
Team Members: 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