Urban Rail Transit Group Data Governance and Application Solution

Application Scenario

Urban Rail Transit Group Data Governance and Application Solution

The urban rail transit sector encompasses multiple disciplines including subway operations, transportation, civil engineering, rolling stock, electromechanical systems, power supply, communications, signaling, and environmental control. In the Data Technology era, the data generated during city rail operations is complex and diverse, with tens of millions of records collected daily across disciplines via manual and automated means. Leveraging big data, artificial intelligence, and other advanced technologies, this solution deeply explores patterns within rail transit systems to guide operations and management practices. It aims to improve operational efficiency, passenger services, public safety, and social governance. The integration of big data with rail transit operations and the resulting business innovations have become the current mainstream and future trend in the segmented rail transit market.

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Construction Goals

Internally provide data asset management and data sharing services to support innovative data applications, such as data-driven business decision-making, operational optimization, situational monitoring, risk warning, and decision analysis.

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Externally enable urban rail transit operation data asset trading and support value-added data asset services.

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Our Methodology

Data Asset Inventory

Utilize the self-service data exploration capabilities of the data governance platform to quickly identify data volume, business attributes, data quality, and field format semantics of data sources. This enables rapid data comprehension and clarifies the current state of the group’s business, data, and systems.

Data Asset Governance

Data Standardization: Establish and refine data standards across business, technology, and management dimensions of the group. Achieve unified naming, definitions, rules, and standards to eliminate ambiguity, enabling end-to-end standardized management from data collection interfaces to data security.Metadata Management: Provide metadata collection, management, analysis, and visualization capabilities. Describe, locate, retrieve, evaluate, and analyze heterogeneous resource information with varied storage structures, achieving structured representation.

Data Asset Development

Data Asset Catalog: Build an L1–L5 data asset catalog focused on urban rail departments’ applications, business objects, and data services, providing users with unified data asset discovery and localization.Master Data Management: Establish a full lifecycle management system covering master data modeling, maintenance, querying, quality inspection, and external sharing. Simplify data rule management and break organizational silos between production, operation, and management applications within the rail transit group. Centralize enterprise master data control by the data management department, build a unified master database, eliminate core data inconsistencies, and ensure data value.

NOCC: Integrated Situational Management

Information Communication: Collects metro-related news, operational indicators, and other domestic and international public transport data, supporting bulletins, warning notices, reports, and operational directives.Comprehensive Dispatching: Aggregates and analyzes operational data including train schedules, station performance, passenger flow, and equipment status,presenting results via visual dashboards to support command decisions.Operational Supervision & Coordination: Collects and verifies OCC readiness data, issues daily operation plans, and coordinates major operational tasks.

Data Asset Services

API Services: Through configurable API development, the platform supports API publishing and retirement with zero-code deployment. It ensures rapid adaptation to applications while providing authentication and traffic control strategies to guarantee system robustness and service availability.Data Portal: Provides developers with the ability to initiate customized data requests by describing detailed requirements, guiding development teams to deliver targeted datasets and tailored services. For managers, a panoramic data dashboard offers a macro-level view of data flows between different storage systems and an overview of governance status.

NOCC: Decision Analysis System

Operational Simulation: Models key stations, lines, and networks to simulate and fully visualize transit system operations.Passenger Flow Forecasting: Provides demand forecasts under different conditions, including new line openings and emergencies, offering decision support for train scheduling, passenger services, and contingency planning.

NOCC: Network Operation Emergency Command

Contingency Planning: The NOCC system supports drafting, managing, and simulating both general and specialized contingency plans, ensuring preparedness for emergencies. Comprehensive Early Warning: Through integrated monitoring and alerting across security subsystems, the platform provides a holistic warning system for network operations.

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Implementation Value

Enhancing Operational Efficiency

Through a unified data platform, departments can quickly access the required data, optimize resource allocation and decision-making processes, significantly improving work efficiency and reducing operational costs.

Strengthening Data Security and Compliance

Data governance ensures the security of sensitive data through access control, encrypted storage, and permission management. This helps customers mitigate legal risks while improving the transparency and reliability of data management.

Driving Digital Transformation

By standardizing data processes and enabling intelligent data analytics, metro operations become more automated and intelligent, accelerating digital transformation and upgrading.

Maximizing Data Asset Value

Data governance not only improves data quality but also systematizes and structures data assets, enhancing data utilization.