Holosentinel Sisitimu Yakangwara Yenharaunda naHey July

Dhizaini Holosentinel Sisitimu Yakangwara Yenharaunda naHey July ndiye mukundi anokudzwa zvikuru wemubairo unoremekedza we2025 Mubairo weSirivha we A' Design Award muChikwata cheKukwikwidza cheTekinorojii yeRuzivo.

SirivhaTekinorojii yeRuzivo· 2025

Holosentinel Sisitimu Yakangwara Yenharaunda

na Hey July

Mutengi: Hey July

Mukundi weMubairo weSirivha we A' Design Award muChikwata cheTekinorojii yeRuzivo

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Sisitimu yeHybrid 3D inosanganisa kujeka kwemhando yendege nezvinodzora zvinozivikanwa nyore. Mativi e3D anoratidza zvimiro zvezvivako nenjodzi dzinoshanduka, pamwe nemapaneru e2D anoshandisa kudhenha kwekupisa kutarisa kushandiswa kwesimba nekushanda kwemidziyo. Mimisiro yemaitiro eAI inobva yanga nzvimbo dzenjodzi huru, ichiita kuti kuwana kwenzvimbo yezviitiko kuitwe musekondi shanu. Ma-algorithms enzvimbo anovandudza HVAC nechiedza kuburikidza nemepu dzekupisa kwevanhu mu3D, ichideredza kushandiswa kwesimba nemapercentage makumi matatu. Kufamba uchishandisa zviratidzo kunoita kuti kuchinja pakati pemaonero makuru nemaduku kuve nyore, zvichiwana budiriro mukunzwisisa kwechishandiso nekushanda zvakanaka.

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Nezve Mubairo weSirivha we A' Design Award

Mubairo weSirivha we A' Design Award wakahwinwa ne Holosentinel Sisitimu Yakangwara Yenharaunda, rukudzo rwakakwirira zvikuru runopiwa kumadhizaini epamusoro, anonaka uye anofadza. Vakunda veSirivha mabasa anopenya kwazvo uye ane kugadzira kwakasiyana anoratidza unyanzvi, hunyanzvi hwekusikwa nekungwara kwevagadziri vawo. Holosentinel Sisitimu Yakangwara Yenharaunda inotarisirwa kuva basa rinoshamisa, rinotangira vamwe, rine hunyanzvi hunoonekwa uye zvitsva zvakadzika. Dhizaini iyi yakahwina Mubairo weSirivha we A' Design Award chigadzirwa chinoshamisa, chinokudzwa chinobatsira uye chinosundira mberi miganhu yehunyanzvi, sayenzi, dhizaini netekinoroji. Holosentinel Sisitimu Yakangwara Yenharaunda chigadzirwa chinoshuvirwa nevazhinji, chinomutsa zvishuvo, chinouya nemanzwiro akanaka uye chinomutsa kushamisika.

Shure kweDhizaini

Bepa Renhau

Zvikwereti, nhengo dzetiimu nezvimwe zvakadzama zvakapihwa nemudhizaina.

Hunhu Hwakasiyana: 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.
Kukura & Kupakiwa: 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.
Matagi: Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
Tekinoroji Yekugadzira: 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.
Changamire yeDhizaini: 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.
Tsvakurudzo: 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.
Chikurudziro: 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.
Nguva yePurojekiti: Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
Mafambiro eBasa: The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
Nhengo dzeTimu: Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi
Zvikwereti zveMifananidzo: 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.