Full-domain Data Collection: Support access and convergence of multi-source heterogeneous real-time and offline data (IoT, video, logs), and collect data from core systems for train dispatching, freight and ticketing. Data Warehouse Integration: Build distributed data warehouses and data lakes for unified data storage. Develop subject and thematic warehouses to compute indicators through batch and real-time streaming processing. Standardized Governance: Set up a governance system for metadata, data standards and data quality, create an enterprise data asset catalog, and boost data reliability and availability. Data Services: Expose data to upper applications via standard APIs, supporting data sharing, two-way collaboration, decision analysis and situation awareness.

Add AI-assisted capabilities to the existing system. Based on multi-source data and intelligent algorithms, through preset rules and intelligent compilation, realize the automatic generation and optimization of train diagrams. Support second-level response and dynamic adjustment, improving the utilization efficiency of capacity resources and train operation safety.

Leverage large models and NLP for on-demand data query and analysis, lowering usage barriers and boosting staff’s data experience and decision efficiency. Intelligent Q&A: Offer professional knowledge inquiry for railway locomotive, track, signaling, transport and power specialists to share expertise. Intelligent Data Query: Serve managers and operators with instant responses, supporting real-time report generation and multi-chart visualization. Intelligent Reporting: Accelerate railway analysis and feasibility reports; large models rapidly produce texts and charts to raise office efficiency. Intelligent Perception: Generate metric cards by user role and business focus for smart recommendation, shifting from passive search to active perception.

Multi-screen Linkage System: Build large, medium and small screens based on digital twin and visualization technologies with consistent data source and coordinated display for hierarchical visual control of railway systems. IOC Intelligent Operation Center: Adopt a three-layer framework of data ingestion & processing, visual analysis and collaborative decision-making. Integrate global system data to realize end-to-end visual management from monitoring and analysis to decision and dispatch, enabling cross-departmental collaboration and intelligent decision-making. Visual Design Tool: Built on microservice and modular architecture with combinable functional units and flexible deployment. Developers can freely assemble visualization components.

Build thematic data models for passenger transport, freight, rolling stock and locomotive around core railway business objects to support overall situation analysis and decision-making. Develop scenario-specific data models for train dispatching, passenger & freight market analysis, capacity allocation and passenger safety based on business themes, delivering scenario-driven data services for refined analysis and visualization.