Hey July tarapyndan Holosentinel Akylly Jemgyýet Ulgamy

Hey July tarapyndan döredilen Holosentinel Akylly Jemgyýet Ulgamy dizaýny Maglumat Tehnologiýalary Dizaýny Bäsleşik Kategoriýasynda 2025 A' Design Award Kümüş Baýragy baýragynyň abraýly ýeňijisidir.

KümüşMaglumat Tehnologiýalary· 2025

Holosentinel Akylly Jemgyýet Ulgamy

dizaýner: Hey July

Müşderi: Hey July

Maglumat Tehnologiýalary Kategoriýasynda A' Design Award Kümüş Baýragy Ýeňijisi

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Dizaýn

Holosentinel Akylly Jemgyýet Ulgamy hakynda

Gibrid 3D ulgamy aerokosmos derejesindäki aýdyňlygy içgin dolandyryş bilen birleşdirýär. 3D gatlaklar bina gurluşlaryny we dinamiki töwekgelçilikleri wizuallaşdyrýar, 2D paneller bolsa energiýa sarp edişine we enjam öndürijiligine gözegçilik etmek üçin ýylylyk kodlamasyny ulanýar. AI özüni alyp baryş modelleri ýokary töwekgelçilikli zolaklar awtomatik kesgitleýär we hadysalary bäş sekundda lokalizasiýa etmäge mümkinçilik berýär. Giňişlik algoritmleri 3D märeke ýylylyk kartalary arkaly HVAC we yşyklandyryşy optimizirleýär, energiýa sarp edişini 30 göterim azaldýar. Yşarat esasly nawigasiýa makro we mikro görnüşleriň arasynda bökdençsiz geçişleri üpjün edýär, interfeýs tanamasynda we operasion netijelilikde öňegidişliklere ýetýär.

Ykrar etme

A' Design Award Kümüş Baýragy hakynda

Holosentinel Akylly Jemgyýet Ulgamy A' Design Award Kümüş Baýragynyň ýeňijisidir; bu owadan, belent we täsirli ýokary derejeli dizaýnlara berilýän adatdan daşary abraýly ykrarnamadyr. Kümüş ýeňijileri dizaýnerleriniň ajaýyp bilimini, zehinini we ýiti aňyny görkezýän aşa ýalpyldawuk we örän döredijilikli eserlerdir. Holosentinel Akylly Jemgyýet Ulgamy ajaýyp, nusgalyk, üns çekiji derejede hünärmenlikli we çuňňur täzelikçi eser bolmagy garaşylýar. A' Design Award Kümüş Baýragyny gazanan bu dizaýn sungatyň, ylmyň, dizaýnyň we tehnologiýanyň çäklerine peýda berýän we ony öňe sürýän örän üns çekiji, haýran galynýan oýlap tapyşdyr. Holosentinel Akylly Jemgyýet Ulgamy köpüň gabanjyna sezewar bolýan, isleglerimizi oýarýan, oňyn duýgulary getirýän we haýranlyk we geň galmagy döredýän eserdir.

Dizaýnyň sahna arkasy

Metbugat toplumy

Dizaýner tarapyndan berlen kreditler, topar agzalary we tehniki maglumatlar.

Üýtgeşik Aýratynlyklar: 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.
Ölçegler we Gaplama: 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.
Bellikler: Digital Twin Community Safety, 3D Visualized Security Intelligence, Vulnerable Group Spatial Protection, Millimeter-Accurate Energy-Saving Modeling, Cross-Dimensional Cognitive Interface
Önümçilik Tehnologiýasy: 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.
Dizaýn Kynçylygy: 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.
Gözleg: 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.
Ylham: 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.
Taslama Dowamlylygy: Development Began in September 2022, Followed by Pilot Testing in a Residential Community in Beijing. The System Was Successfully Deployed in January 2023.
Iş Akymy: The System Supports Both Mouse and Tablet Touch Controls, Allowing Users to Navigate 3D Spatial Models, Access Operational Features, and Conduct Precise Searches Seamlessly.
Topar Agzalary: Leader: Gao Chao
Technical Consultant: Bao Xiaopan
Designer: Zhang Shiqi
3D Modeler: Fan Shengming
Development Engineer: Wang Qi
Surat Awtorlary: 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.