Holosentinel Nidaamka Bulshada Casriga ah oo uu sameeyey Hey July

Naqshadda Holosentinel Nidaamka Bulshada Casriga ah oo uu sameeyey Hey July waa mid aad u sharaf badan oo ku guulaysatay tartanka qaybta Naqshadeynta Tiknoolajiyada Macluumaadka ee 2025 Abaalmarinta Lacagta ah ee A' Design Award.

LacagTiknoolajiyada Macluumaadka· 2025

Holosentinel Nidaamka Bulshada Casriga ah

Hey July uu sameeyay

Macmiilka: Hey July

Ku Guuleystaha Abaalmarinta Lacagta ah ee A' Design Award ee Qaybta Tiknoolajiyada Macluumaadka

84,192

Ku Guuleystaha Abaalmarinta La Xaqiijiyey

Xaqiiji Xaaladda Abaalmarinta #171198

Ka Eeg A' Design Award War-saxaafadeed Calaamadda Abaalmarinta

Midabada

Naqshadeynta

Wax ku saabsan Holosentinel Nidaamka Bulshada Casriga ah

Nidaamka isku-dhafka ah ee 3D wuxuu isku daraa caddayn heer hawada sare ah oo caalami ah iyo xakameyn sahlan. Qaybaha 3D waxay muujiyaan dhismaha dhismayaasha iyo khataraha firfircoon, halka bandhigyada 2D ay adeegsadaan koodhinta kulaylka si ay u kormeeraan isticmaalka tamarta iyo waxqabadka aaladaha. Qaababka hab-dhaqanka AI-ga ayaa si toos ah u calaamadeeya gobolada khatarta sare, taasoo awood u siinaysa goobaynta dhacdooyinka shan ilbiriqsi gudahood. Algorithms-yada meelaynta waxay hagaajiyaan HVAC iyo iftiinka iyagoo adeegsanaya khariidadaha kulaylka dadka ee 3D, taasoo yaraysa isticmaalka tamarta 30 boqolkiiba. Socodka ku salaysan dhaqdhaqaaqa wuxuu hubiyaa isbeddelka habsami leh ee u dhexeeya aragtiyo weyn iyo kuwo yar-yar, taasoo gaarta horumar dhismaha garashadda iskudhafka iyo hufnaanta hawlgalka.

Aqoonsiga

Wax ku saabsan Abaalmarinta Lacagta ah ee A' Design Award

Holosentinel Nidaamka Bulshada Casriga ah waa guuleystaha Abaalmarinta Lacagta ah ee A' Design Award, aqoonsi sharaf aad u sarreeya oo la siiyo naqshado heerka ugu sarreeya oo quruxsan oo soo jiidasho leh. Guuleystayaasha Lacagta waa shaqooyin aad u dhalaalaya iyo hal-abuur sare leh oo muujiya khibrad, hibo iyo hufnaan naqshadeeyayaashooda. Holosentinel Nidaamka Bulshada Casriga ah waa shaqo la filayo inay noqoto shaqo quruxsan oo tusaale ah, xirfad cad leh oo hal-abuur qoto dheer leh. Naqshadahan ku guuleystay Abaalmarinta Lacagta ah ee A' Design Award waa hal-abuur aad loo dareemo oo la ammaano, waxtar leh oo hormariya xuduudaha farshaxanka, sayniska, naqshadaynta iyo tignoolajiyada. Holosentinel Nidaamka Bulshada Casriga ah waa hal-abuur dad badan ay doonayaan, kicisa rabitaanno, keena dareenno wanaagsan oo abuura yaab.

Gadaasha Naqshadeynta

Xirmada Warbaahinta

Shahaadooyinka, xubnaha kooxda iyo faahfaahinta farsamada ee uu bixiyay naqshadeeluhu.

Sifooyinka Gaarka ah: 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.
Cabbirka & Qaabaynta: 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.
Summado: Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
Tiknoloojiyada Soo Saarka: 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.
Caqabadda Naqshadda: 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.
Cilmi-baadhis: 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.
Dhiirrigelinta: 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.
Muddada Mashruuca: Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
Socodka Hawlgalka: The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
Xubnaha Kooxda: Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi
Amaanta Sawirrada: 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.