Sefon Software NOCC Construction

China's urban rail transit operational mileage exceeds 10,000 kilometers, with over 6,300 lines and more than 6,000 stations forming the world's largest urban rail network. At the critical stage of the industry's shift from construction-led to operation-led, the Network Operation Command Center (NOCC), as the neural hub of urban rail transit, is achieving an intelligent reconstruction of the three-tier command system through systematic data governance.

Sefon Software builds an intelligent and autonomous NOCC system with data governance as the foundation and visual applications as the core, assisting urban rail transit groups in achieving data application innovation and data asset value appreciation.

NOCC | Thematic Business Application Scenarios

Based on big data analysis, NOCC achieves comprehensive control over operational status, optimizes various management elements of operational production, and conducts in-depth mining and analysis of core sectors such as energy management systems, intelligent maintenance systems, passenger flow prediction systems, and data indicator management. It provides direction and goals for equipment maintenance, operational planning, and energy efficiency optimization in the rail transit network.

Operational Services

Optimizes cost composition and specific expenditures from multiple dimensions such as labor, energy consumption, maintenance, and operational management. Forms stable and objective operational cost data, accurately reflects recent operational production status, and effectively predicts future operational cost trends. Provides a basis for rational allocation of financial expenditures, making operational cost demands more acceptable to local government finances, thereby achieving cost reduction and efficiency improvement.

Operational Analysis | Management Upgrade

Leveraging AFC passenger flow data, weather data, and camera facial recognition technology, data models are established. Through passenger flow prediction algorithms, video analysis algorithms, and transport plan optimization algorithms, operational plans and duty rosters are automatically generated. This achieves intelligent control of passenger flow and duty scheduling, upgrading network operations from experience-based management to data model and algorithm-based management.

Energy Efficiency Analysis | Energy Optimization

Conducts real-time visual analysis and monitoring of energy consumption across the entire network (trains, stations, depots, control centers, etc.), including electricity, water, gas, and thermal energy consumption, as well as power quality. Performs automated, multi-dimensional energy efficiency analysis and evaluation based on energy consumption data. Establishes a scientific and reasonable energy-saving effect evaluation index system, adjusts energy-saving measures, and improves energy utilization efficiency.

Maintenance Analysis | Equipment Management

Establishes a fault knowledge base and algorithm models. Utilizes AI and big data analysis technologies for fault analysis, prediction, and early warning. Based on maintenance cost unit accounting data, health assessments, and holding cost accounting data, maintenance tasks are automatically generated, providing precise and efficient maintenance support for operational staff.

Data Foundation: Systematic Integration of Data Resources

Based on Sefon Software's self-developed SDC Govern data governance platform and SDC Hadoop data storage and computation software, services such as unified data access, storage, governance, and analysis are provided. A unified data platform is constructed to achieve integrated management of data from internal management networks, external service networks, and production management networks, improving production and operational efficiency, ensuring data security, and enhancing the value of data assets.

1、Data Asset Inventory

Leveraging the self-service data exploration capabilities of the data governance platform, quickly identifies data volume, business attributes, data quality, and field format semantics of data sources. Rapidly understands data and clarifies the current state of the group's business, data, and systems.

2、Data Asset Integration

Based on data storage and computation software, integrates multi-source heterogeneous data such as AFC data and material management data within the group. Combined with ETL tools, uses unified integration tools and methods to achieve efficient batch, streaming, and real-time data asset integration.

3、Data Asset Governance

Metadata Management
Provides functions for metadata collection, management, analysis, and presentation. Describes, locates, retrieves, evaluates, and analyzes resource information that is scattered and stored in diverse structures, achieving information structuring.

Combines algorithms such as similarity, decision trees, linear classification, and clustering for deep and shallow training modes of metadata information. Automatically generates data standards, quality rules, and data lineage, improves data quality, and maintains data assets.

Data Security Management
Refers to the "Urban Rail Data Classification and Grading Guide" to implement data classification and grading. Ensures core data security through data desensitization, data watermarking technology, and permission control.

4、Data Asset Development

Forms a full lifecycle management system from master data model management, maintenance, query, quality inspection, to external sharing.

Simplifies data rule management, breaks down organizational boundaries of independent applications in production, operations, and management within the rail transit group, and helps data management departments achieve centralized control of enterprise master data. Constructs a unified master database, eliminates issues such as core data inconsistency, and ensures data value.

Data Warehouse
Identifies key business object entities by carding urban rail backbone business processes. Constructs 13 major thematic domains around core business themes such as operational management, passenger services, and commercial management. Supports the organization, management, sharing, and systematic carding of urban rail data assets.

 Around business application needs such as urban rail networks, energy, and passenger flow, constructs six business subject libraries: operational services, safety incidents, human resources, financial management, energy big data, and passenger profiling. Improves management levels and operational efficiency.

5、Data Asset Services

API Services

Based on configurable API development, provides data API online/offline processes. Enables efficient distribution with zero code, quickly adapts to applications, and provides authentication and flow control tactics capabilities to ensure system robustness and service availability.

Data Portal
Provides data developers with the function to initiate custom data requests. Guides developers to complete target data development and customized data services by describing requirement details.

Provides business personnel with an open self-service data supermarket, covering various data assets. Supports quick filtering of target data in the data supermarket, adding to a "shopping cart," and applying for batch use to release data value.

For management personnel, establishes a panoramic data dashboard to display data flow relationships between storage media in the platform and provide an overview of the entire data governance process from a macro perspective.

NOCC Applications: Reconstructing the Intelligent Command System

Based on a unified data governance system, NOCC improves operational efficiency through coordinated network management and unified command. Breaks down traditional system barriers, achieves data integration and collaborative command across businesses, levels, and spaces. Realizes unified operational management and dispatch command of the rail transit network.

Comprehensive Situation Management

Based on collected data, analyzes internal and external data of rail transit. Presents operational indicators and policy information through visual charts, ensuring production operation supervision, passenger services, and safety emergencies.

Network Operation Information Sending and Receiving
Collects domestic and international subway information, network operational indicators, and early warning information released by government functional departments. Supports the release of public transportation information bulletins, early warning plans, and other information.

Provides functions for writing operational reports and processing operational data. Supports operational report submission and work instruct issuance.

Integrated Network Dispatch
Collects and analyzes data such as train information, station information, passenger flow, and equipment within the network. Presents comprehensive information through visual charts. Monitors vehicle dispatch, equipment status, and public environment conditions, providing a basis for network operation command.

Network Operation Production Supervision and Coordination
Checks the preparation status of each OCCs through reported data. Deploys and issues daily operational production plans and important arrangements. Monitors the network operation status in real-time, coordinates related tasks, tracks weak operational links, and inspects and verifies daily operational production situation, reviewing operational data.

Decision Analysis System

Operational Simulation
Simulates key operational aspects of urban rail transit, such as key stations, lines, and networks, achieving a comprehensive description and presentation of the rail system.

Passenger Flow Prediction
Provides passenger flow prediction data for the entire network under various scenarios, including new line passenger flow prediction and emergency passenger flow prediction. Supports tasks such as train operation, passenger transport, ticketing, emergencies, and passenger services. Assists in decision-making for different operational organization schemes, improving decision accuracy.

Network Operation Analysis and Evaluation
Constructs indicators for train operation, equipment facilities, passenger flow, energy consumption, and accounts information. Evaluates the operational level of each line through the analysis of various unique indicators, providing auxiliary support for line optimization.

Train Operation Command Auxiliary Decision-Making
Analyzes train operation conditions and quality data of operational equipment facilities across the network. Provides technical support for optimizing train organization within the network.

Network Operation Emergency Command

Plan Management
Uses the NOCC system to compile, manage, and analyze the implementation of overall and specialized work plans, preparing for emergencies.

Comprehensive Early Warning
Provides comprehensive and integrated network operation early warnings through monitoring and early warning systems within the network security integration platform. Includes external warnings such as major event passenger flow and severe weather, as well as internal warnings such as station accidents and equipment failures.

Emergency Response
Helps managers timely grasp emergency events and fault information through real-time monitoring of train operation, power supply, environmental control, passenger flow, and other information within the network.

The system can quickly analyze and assess event levels and emergency rescue needs, improving resource allocation efficiency. Simultaneously, it can coordinate with external units through the platform to request external support, bus bridging, etc., enabling rapid response during large passenger flow and severe weather conditions.

Also, releases event information through broadcast and PIS systems to guide passengers to safety.

Post-Event Review
Evaluates and analyzes event handling, records and archives historical events, and optimizes plan processes based on event handling details.

Relying on a solid data governance system, the NOCC system becomes a strategic pivot for reshaping urban operational logic. It evolves the rail transit network into the city's neural network, where every train dispatcher is not just a spatial displacement but also a value fission of data assets in the time dimension. Sefon Software provides digital and intelligent solutions for urban rail transit network operations, transforming future smart urban rail into determinacy coordinates of the urban economy, making every journey a calculable, optimizable, and value-added economic form.