Holosentinel Ухаалаг Нийгэмлэгийн Систем by Hey July is a highly esteemed winner of the very prestigious 2025 A' Design Award Мөнгөн шагнал in Мэдээллийн технологийн дизайн Competition Category.
МөнгөнМэдээллийн технологи· 2025
Holosentinel Ухаалаг Нийгэмлэгийн Систем
by Hey July
Client: Hey July
A' Design Award Мөнгөн шагнал Winner in Мэдээллийн технологи Category
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The Design
About Holosentinel Ухаалаг Нийгэмлэгийн Систем
Эрлийз 3D систем нь сансрын техникийн түвшний тодорхой байдал болон интуитив удирдлагыг хослуулдаг. 3D давхаргууд нь барилгын бүтэц болон динамик эрсдлийг дүрслэн харуулдаг бол 2D самбарууд нь дулааны кодчилолыг ашиглан эрчим хүчний хэрэглээ болон төхөөрөмжийн гүйцэтгэлийг хянадаг. Хиймэл оюун ухааны зан үйлийн загварууд нь өндөр эрсдэлтэй бүсүүдийг автоматаар тэмдэглэж, таван секундын дотор осол гэмтлийн байршлыг тогтоох боломжийг олгодог. Орон зайн алгоритмууд нь 3D олон хүний дулааны зураглалаар дамжуулан HVAC болон гэрэлтүүлгийг оновчтой болгож, эрчим хүчний хэрэглээг 30 хувиар бууруулдаг. Дохио хөдөлгөөнд суурилсан навигаци нь макро болон микро харагдацын хоорондох уян хатан шилжилтийг хангаж, интерфэйсийн танин мэдэхүй болон үйл ажиллагааны үр ашгийн салбарт томоохон ахиц гаргасан байна.
The Recognition
About the A' Design Award Мөнгөн шагнал
Holosentinel Ухаалаг Нийгэмлэгийн Систем нь A' Design Award Мөнгөн шагналын ялагч бөгөөд дээд зэргийн, гайхамшигтай, сэтгэл хөдөлгөм загварт олгодог онцгой нэр хүндтэй хүлээн зөвшөөрөлт юм. Мөнгөн ялагчид бол маш гялалзсан, маш бүтээлч ажил бөгөөд зохион бүтээгчдийн гарамгай мэдлэг, авьяас, нарийн мэдрэмжийг харуулдаг. Holosentinel Ухаалаг Нийгэмлэгийн Систем нь гайхалтай, үлгэр жишээ, маш мэргэжлийн, гүнзгий шинэлэг бүтээл болно гэж хүлээгддэг. Мөнгөн шагнал хүртсэн энэ загвар бол урлаг, шинжлэх ухаан, загвар, технологийн хил хязгаарыг тэлэхэд хувь нэмэр оруулдаг анхаарал татахуйц, биширсэн шинэ бүтээл юм. Holosentinel Ухаалаг Нийгэмлэгийн Систем бол олон хүний атаархал татдаг бүтээл бөгөөд хүслийг сэргээж, эерэг мэдрэмж авчирч, гайхшрал, биширлийг төрүүлдэг.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- Featuring a hybrid 2D and 3D interface with aerospace-grade clarity, the system offers an intuitive spatial view. The 3D layer highlights structures and risks like stalking alerts, while 2D panels show real-time energy and device status via thermal coding. Users can tap floor plans for details or swipe to shift views. AI-driven models detect high-risk zones, enabling five-second security responses. Spatial optimization cuts energy use by 30 percent, enhancing both visual cognition and operational intelligence.
- Dimensions & Packaging
- The System Is Compatible With Mainstream 16:9 Screen Ratios (e.g., 1920 x 1080, 3840 x 2160), Ensuring High-Clarity 3D Visualization Across Various Devices While Maintaining Spatial Accuracy.
- Tags
- Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
- Production Technology
- Utilizing precise one-to-one 3D modeling with sensor positioning accuracy of less than 2 cm, the system integrates real-time IoT data, including surveillance feeds and access logs, into its digital twin. Light and shadow physics enhance realism, while aerospace-grade mission color coding improves clarity: blue for security alerts, orange for energy issues, and a dark background for hierarchy. This design enables 0.3-second critical data recognition, ensuring seamless spatial-to-operational response.
- Design Challenge
- Internally, the Challenge Was to Develop a Fully Functional 3D Engine, AI Models, and UX Design Within Just Three Months. A Modular Architecture Was Implemented to Decouple the Real-Time 3D Framework From Backend Algorithms, Enabling Parallel Workflows That Reduced Development Time by 40 Percent. Externally, the Biggest Obstacle Was IoT Fragmentation Across Seven Different Protocols. To Address This, a Lightweight Middleware Was Created to Standardize Proprietary Protocols Into a Unified Data Stream. Automated Compatibility Testing Further Ensured Interoperability Among Six Major Security Brands, Effectively Bridging Ecosystem Silos.
- Research
- Type of Research: Applied Design Research.
Research Objectives: Validate digital twin technology for enhancing community safety and energy optimization.
Methodology: Mixed-methods integrating IoT sensor analytics with user behavior observation.
Data Collection/Tools: IoT sensor data and digital twin modeling for spatial data fusion.
Participants: 385 residents and 18 managers from a Beijing pilot community.
Results: Achieved 42% faster emergency responses and 27% reduced energy use.
Insights/Impacts: Predictive risk management redefines smart city governance, bolstering property tech, societal safety, and energy-efficient design. - Inspiration
- Leveraging Cutting-Edge Digital Twin Technology, This System Reconstructs Communities With Millimeter-Accurate 3D Modeling. Its Virtual Engine Analyzes Real-Time Data From Surveillance Cameras and Access Controls, Identifying Spatiotemporal Anomalies Such as Loitering Near Children's Areas for Proactive Crime Prediction. When Prolonged Inactivity Is Detected in Elderly Residents' Homes, the System Initiates Automated 3D Location Verification. By Transforming Fragmented Data Into Actionable Spatial Intelligence, It Evolves From a Passive Monitoring Tool Into a Proactive Guardian of Community Safety.
- Project Duration
- Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
- Operation Flow
- The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
- Team Members
- Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi - Image Credits
- Image #1 : Creator Gao Chao, Holosentinel, 2024.
Image #2 : Creator Gao Chao, Holosentinel, 2024.
Image #3 : Creator Gao Chao, Holosentinel, 2024.
Image #4 : Creator Gao Chao, Holosentinel, 2024.
Image #5 : Creator Gao Chao, Holosentinel, 2024.
Video Credits: Produced by Gao Chao, 2024.
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