Data Fusion Center_GIS service_UNION STAR SCIENCE AND TECHNOLOGY CO., LIMITED

Data Fusion Center Hardware Infrastructure

Computing, storage and network hardware cluster supporting massive urban data operations

GPU-AI Server Cluster

High-performance parallel computing core supporting deep learning training and inference tasks, responsible for city-wide video image recognition and large-scale AI analysis.

CPU Computing Servers

General-purpose computing resource pool for routine business logic, data cleaning, classification, fusion and basic data processing.

PB-level Distributed Storage

Massive data persistence base with elastic scaling and high availability architecture, storing video, geographic information, government affairs and full urban datasets.

Data Backup Center

Multi-copy disaster recovery backup mechanism to ensure business continuity and protect core urban data from hardware failure risks.

Network Switches

High-speed interconnection switching hub enabling low-latency data flow between computing nodes and connecting hardware cluster transmission links.

Edge Computing Nodes

Near-field real-time computing power sinking to reduce remote transmission delay, share central server load, and enable local real-time AI recognition at intersections and communities.

Construction Principle: The urban data platform is a core city-owned asset. The hardware base and data system must be built independently. Independent departmental databases should be closed, and city-wide data resources should be managed uniformly.

Data Fusion Center Construction Proposal and Workflow

Step 1: AI-Data Fusion

Standardize, clean and fuse multi-source heterogeneous urban data, unify city-wide data formats, and build a standardized raw resource pool.

Step 2: GIS Spatial Database

Build a unified spatial database for centralized storage and management of geographic coordinates, building road networks and point-of-interest information, providing a underlying spatial foundation for the smart city.

Step 3: Digital Twin Platform

Build a 3D visual twin platform based on spatial data, update urban operation status in real time, and complete city-wide situation visualization, simulation and intelligent dispatch.

"Adhere to full platform self-construction, unified city-wide data storage, and close independent departmental databases, so as to build a unified, complete and secure urban big data fusion center."

Real-time Data Source

Video AI: Over 70% of Smart City Real-time Data

Camera capture — AI recognition — GIS display — automatic dispatch

1. HD Cameras

Deployed at urban intersections, roads and community locations for original video collection.

2. AI Recognition

Automatically detect vehicles, pedestrians and non-motor vehicles, and analyze dynamic urban pedestrian and traffic flow data.

3. Real-time GIS Display

Mark congestion, accidents and illegal parking locations on the spatial map to visually show urban conditions.

4. Automatic Optimization and Dispatch

Self-adaptive traffic signal timing and traffic flow guidance to complete intelligent urban traffic management.

AI Alarm Scenarios

Camera AI Automatic Recognition and Alarm Scenarios

Video AI monitors public urban areas 24/7 and triggers early warnings when abnormal events are detected.

Fire Smoke Garbage Pileup Road Ponding Crowd Gathering Abnormal Running Wrong-way Driving Illegal Parking Construction Violation

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Data Fusion Center Urban Data Base