Holosentinel Slim Gemeenskapstelsel deur Hey July

Die ontwerp Holosentinel Slim Gemeenskapstelsel deur Hey July is 'n hoogs gewaardeerde wenner van die baie prestigieuese 2025 A' Design Award in Silwer in die Inligtingstegnologie Ontwerp-kompetisiekategorie.

SilwerInligtingstegnologie· 2025

Holosentinel Slim Gemeenskapstelsel

deur Hey July

Kliënt: Hey July

Wenner van die A' Design Award in Silwer in die Inligtingstegnologie-kategorie

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Geverifieerde Toekenningswenner

Verifieer Toekenningsstatus vir #171198

Bekyk by A' Design Award Persverklaring Toekenningskenteken

Kleure

Die Ontwerp

Oor Holosentinel Slim Gemeenskapstelsel

Hibriede 3D-stelsel kombineer lugvaartgraad-helderheid met intuïtiewe kontroles. 3D-lae visualiseer geboustrukture en dinamiese risiko's, terwyl 2D-panele termiese kodering gebruik om energieverbruik en toestelleprestasie te monitor. KI-gedragsmodelle merk outomaties hoërisiko-sones, wat insident-lokalisering binne vyf sekondes moontlik maak. Ruimtelike algoritmes optimaliseer HVAC en beligting deur middel van 3D-menigte-hittekaarte, wat energieverbruik met 30 persent verminder. Gebaar-gebaseerde navigasie verseker naatlose oorgange tussen makro- en mikro-aansigte, wat deurbrake in koppelvlak-kognisie en operasionele doeltreffendheid behaal.

Die Erkenning

Oor die A' Design Award in Silwer

Holosentinel Slim Gemeenskapstelsel is 'n wenner van die A' Design Award in Silwer, 'n buitengewoon prestigieuse erkenning wat toegeken word aan topklas-, pragtige en indrukwekkende ontwerpe. Wenners in Silwer is geweldig briljante en uiters kreatiewe werke wat die uitstaande kundigheid, talent en skerpsinnigheid van hul ontwerpers illustreer. Daar word verwag dat Holosentinel Slim Gemeenskapstelsel 'n wonderlike vertoonstuk is wat merkwaardig professioneel en diepgaande innoverend is. Hierdie ontwerp wat die A' Design Award in Silwer gewen het, is 'n hoogs noemenswaardige, bewonderde uitvinding wat die grense van kuns, wetenskap, ontwerp en tegnologie bevoordeel en uitbrei. Holosentinel Slim Gemeenskapstelsel is 'n wyd beny skepping wat begeertes oproep, positiewe gevoelens bring en verbasing en verwondering wek.

Agter die Ontwerp

Persstel

Krediete, spanlede en tegniese besonderhede verskaf deur die ontwerper.

Unieke Eienskappe: 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.
Afmetings & Verpakking: 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.
Etikette: Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
Produksietegnologie: 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.
Ontwerpuitdaging: 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.
Navorsing: 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.
Inspirasie: 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.
Projekduur: Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
Bedryfsvloei: The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
Spanlede: Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi
Beeldkrediete: 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.