Holosentinel System Cymuned Clyfar gan Hey July

Mae Holosentinel System Cymuned Clyfar gan Hey July yn enillydd uchel ei barch o'r 2025 Gwobr Arian A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Technolegau Gwybodaeth.

ArianTechnolegau Gwybodaeth· 2025

Holosentinel System Cymuned Clyfar

gan Hey July

Cleient: Hey July

Enillydd Gwobr Arian A' Design Award yn y Categori Technolegau Gwybodaeth

84,192

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #171198

Gweld yn A' Design Award Datganiad i'r Wasg Bathodyn Gwobr

Lliwiau

Y Dyluniad

Am Holosentinel System Cymuned Clyfar

Mae system 3D hybrid yn cyfuno eglurder gradd awyrofod â rheolaethau greddfol. Mae haenau 3D yn delweddu strwythurau adeiladau a risgiau deinamig, tra bod paneli 2D yn defnyddio codio thermol i fonitro defnydd ynni a pherfformiad dyfeisiau. Mae modelau ymddygiadol AI yn nodi parthau risg uchel yn awtomatig, gan alluogi lleoli digwyddiadau mewn pum eiliad. Mae algorithmau gofodol yn optimeiddio HVAC a goleuo trwy fapiau gwres tyrfa 3D, gan leihau defnydd ynni 30 y cant. Mae llywio seiliedig ar ystumiau yn sicrhau pontydd di-dor rhwng golygfeydd macro a micro, gan gyflawni datblygiadau arloesol mewn gwybyddiaeth rhyngwyneb ac effeithlonrwydd gweithredol.

Y Gydnabyddiaeth

Am y Gwobr Arian A' Design Award

Mae Holosentinel System Cymuned Clyfar yn enillydd Gwobr Arian A' Design Award, cydnabyddiaeth hynod fawreddog a roddir i ddyluniadau o'r radd uchaf, hardd a thrawiadol. Mae enillwyr Arian yn weithiau tra disglair a hynod greadigol sydd yn darlunio arbenigedd, dawn a chraffter rhagorol eu dylunwyr. Disgwylir i Holosentinel System Cymuned Clyfar fod yn waith gwych ac esiampl, yn nodedig o broffesiynol ac yn ddwfn arloesol. Mae'r dyluniad buddugol hwn o Wobr Arian A' Design Award yn ddyfais hynod nodedig a edmygir sydd yn elwa ac yn symud ymlaen ffiniau celf, gwyddoniaeth, dylunio a thechnoleg. Mae Holosentinel System Cymuned Clyfar yn greadigaeth y cenfigennir wrthi yn eang, sydd yn deffro dyheadau, yn cyflwyno teimladau cadarnhaol ac yn cynnau rhyfeddod a syndod.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw: 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.
Dimensiynau a Phecynnu: 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.
Tagiau: Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
Technoleg Cynhyrchu: 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.
Her Dylunio: 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.
Ymchwil: 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.
Ysbrydoliaeth: 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.
Hyd y Prosiect: Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
Llif Gweithrediad: The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
Aelodau'r Tîm: Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi
Cydnabyddiaeth Delweddau: 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.