Holosentinel Sistèm Kominote Entelijan pa Hey July

Dizayn Holosentinel Sistèm Kominote Entelijan pa Hey July se yon gayan ki gen anpil estim nan konpetisyon trè prestijye 2025 A' Design Award Ajan nan Kategori Konpetisyon Teknoloji Enfòmasyon.

AjanTeknoloji Enfòmasyon· 2025

Holosentinel Sistèm Kominote Entelijan

pa Hey July

Kliyan: Hey July

Gayan A' Design Award Ajan nan Kategori Teknoloji Enfòmasyon

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Gayan Pri Verifye

Verifye Estati Pri pou #171198

Gade sou A' Design Award Kominike Laprès Badj Prim

Koulè

Konsepsyon an

Konsènan Holosentinel Sistèm Kominote Entelijan

Sistèm 3D ibrid konbine klate nivo ayerospatyal ak kontwòl entwitif. Kouch 3D vizualize estriktui batiman yo ak risk dinamik yo, pandan panno 2D itilize kodaj tèmal pou siveyans konsommasyon enèji ak pèfòmans aparèy yo. Modèl konpòtman AI otomatikman make zòn gwo risk, pèmèt lokalizasyon ensidan an senk segonn. Algoritm espasyal optimize HVAC ak eklèraj atravè kat tèmik 3D foul moun, redui itilizasyon enèji 30 pousan. Navigasyon bazé sou jès asire tranzisyon san pwoblèm ant vi makwo ak mikwo, reyalize avanse nan konesans entèfas ak efikasite operasyonèl.

Rekonesans lan

Konsènan A' Design Award Ajan

Holosentinel Sistèm Kominote Entelijan se yon ganyan A' Design Award Ajan, yon rekonesans ki gen yon prestij enmans yo bay design nivo siperyè, bèl anpil e enpresyonan. Ganyan Ajan yo se travay ki trè briyan e ki trè kreyatif ki montre ekspètiz, talan ak finès designer yo. Yo atann Holosentinel Sistèm Kominote Entelijan pou se yon bèl travay modèl, remakab nan pwofesyonalis e ki gen gwo inovasyon. Design sa a ki ganyen A' Design Award Ajan se yon envansyon trè remakab, admire ki pote benefis e ki pouse limit atizay, syans, design ak teknoloji. Holosentinel Sistèm Kominote Entelijan se yon kreyasyon anpil moun jalou ki reveye dezi, ki pote santiman pozitif e ki limen sipriz ak mèvèy.

Dèyè Konsepsyon an

Dosye Laprès

Kredi, manm ekip ak detay teknik konseptè a bay.

Pwopriyete Inik: 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.
Dimansyon & Anbalaj: 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.
Etikèt: Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
Teknoloji Pwodiksyon: 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.
Defi Dizayn: 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.
Rechèch: 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.
Enspirasyon: 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.
Dire Pwojè: Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
Fliks Operasyon: The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
Manm Ekip: Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi
Kredi Imaj: 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.