Public Utilities

Gas Distribution

A Unified Platform for Gas Safety and Operations

Integrating SCADA system data to support real-time monitoring, consumption forecasting, and dispatch coordination — a unified data foundation across the full gas operations lifecycle.

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Industry Background

From Pipeline Operations to Data-Driven Dispatch

SCADA systems now cover gas intake, metering, transmission, and pressure regulation, with PLCs and sensors continuously collecting pressure, flow, and other critical parameters for basic monitoring and alerting.

As network scale and data acquisition frequency continue to grow, demand is rising for predictive maintenance, load forecasting, and intelligent dispatch — placing greater demands on real-time processing, analytics, and long-term data management capabilities.

Full SCADA Coverage
Spanning gas intake, metering, transmission, and pressure regulation — continuously collecting pressure, flow, and equipment status data at scale.
Real-Time Monitoring and Alerting
PLC and sensor-based 24/7 monitoring of pipeline operations with instant anomaly alerting.
Demand for Intelligent Forecasting
Shifting from reactive response to proactive prediction — covering predictive maintenance, load forecasting, and gas source dispatch optimization.
Challenges
Complex Multi-Protocol Integration
Field devices communicate across MQTT, TCP, OPC, HTTP, and other protocols, requiring multiple middleware layers for conversion and data consolidation — increasing latency, integration complexity, and long-term maintenance costs.
Fragmented Technology Stack
Data acquisition, messaging, storage, stream processing, and business applications run on separate systems (Kafka, MySQL, Flink, etc.), resulting in high component coupling, frequent cross-system data movement, and long development cycles.
Secure Transmission Requirements
Sensitive pipeline data such as flow and pressure readings must be encrypted using national cryptographic standards. Layering encryption and decryption over high-concurrency data acquisition and real-time computation places significant demands on system performance and long-term stability.
Insufficient Predictive Analytics
Systems lack predictive maintenance capabilities for critical equipment such as regulators and compressors, responding only after failures occur. Gas consumption forecasting relies on manual estimation or simple statistical methods, without effectively incorporating weather, holidays, and other factors — limiting procurement optimization and network dispatch.

DolphinDB Solution

Unified Field Device and Pipeline Data Ingestion

  • Native support for MQTT, TCP, OPC UA/DA, HTTP, and other industrial and IoT protocols enables direct connectivity with field devices, PLCs, and SCADA systems — eliminating middleware layers and reducing latency.
  • Built-in national cryptographic algorithm support (SM2/SM4) ensures secure encryption at the ingestion and transmission stage, meeting gas industry compliance requirements.

Unified Storage and Compute Layer

Time-series, non-time-series, and device model data are managed within a single architecture alongside real-time and historical data. Columnar storage and compression deliver over 15x compression versus traditional MySQL solutions, reducing storage and hardware costs while maintaining high-concurrency write and query performance.

Real-Time Monitoring and Intelligent Analytics

  • 10+ streaming engines and 2,000+ built-in functions support real-time monitoring, aggregation, and correlation analysis across pressure, flow, and other key metrics.
  • Built-in machine learning models including ARIMA, AdaBoost, Random Forest, and XGBoost support gas consumption forecasting, equipment trend analysis, and anomaly detection.

Rapid Application Enablement

Standardized data service interfaces allow DolphinDB to directly serve SCADA visualization, decision analytics, and consumption forecasting applications — reducing redundant data processing across systems and accelerating the development and iteration of business applications.

Key Benefits

Faster Anomaly Detection and Response

Alert response for critical parameters reduced from minutes to seconds or milliseconds — providing the critical response window needed for pipeline leaks, pressure breaches, and other safety events.

Lower Development Costs and Easier Scaling

Replacing bloated multi-component stacks with a unified platform shortens development cycles for new or upgraded smart gas SCADA systems, while laying a stable data foundation for future integration with GIS, customer service, and inspection systems.

Smarter Operational Decision-Making

Unlocking the full value of historical and real-time data to support regional load forecasting, network simulation, and regulator health assessment — shifting gas dispatch from experience-driven to data-driven and intelligent.

Ready to Strengthen Your Gas Network Safety?
Discover how DolphinDB can help your team:
pointUnify high-frequency pressure and flow data across pipelines, stations, and end users
pointEnable real-time anomaly detection and risk alerting to improve operational safety
pointAnalyze load patterns and consumption trends to optimize dispatch and supply-demand balance
pointTransform operational data into analyzable, predictable assets that support precision management and service improvement
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