Public Utilities

Water Utilities

Real-Time Data Governance for Urban Water Security

Unified ingestion of multi-source time-series and operational data, supporting real-time alerts, leakage analysis, and intelligent dispatch.

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Industry Background

Toward Intelligent Water Operations

Water utilities have steadily built monitoring systems spanning source, treatment, distribution, and end users — collecting operational, pressure, water quality, and consumption data through SCADA, GIS, and DMA metering. As demand grows for leakage control, energy efficiency, and precision operations, the industry is shifting from reactive monitoring toward proactive alerting and intelligent decision-making.

End-to-End Online Monitoring
SCADA systems collect operational, pressure, water quality, and consumption data across the full supply chain — from source to end user.
GIS and District Metering
GIS and DMA metering enable precise management of network distribution and regional consumption, providing the foundation for leakage control.
Security and Precision Operations
Rising demands for data security alongside the push for energy efficiency and precision operational management.
Challenges
Complex Architecture
Water utilities commonly run fragmented stacks — relational databases, time-series databases, caches, and Hadoop components — with production, network, and billing systems built independently, leading to data silos, inconsistent standards, and high integration and maintenance overhead.
Slow Real-Time Monitoring Response
Most monitoring systems operate near-real-time or rely on post-hoc analysis, with delays of tens of minutes from data collection to actionable insight. Slow alert response makes it difficult to detect and address pipe bursts or sudden water quality changes in time.
Analytics Still Dependent on Manual Expertise
Leakage analysis, hydraulic simulation, and dispatch decisions remain heavily experience-driven, with limited data-driven tooling. Historical and real-time data are rarely combined effectively, leaving predictive maintenance and risk assessment largely reactive.
Growing Security Risks
Greater connectivity between operational and information systems increases exposure to security threats. Water utilities require robust security controls, high-availability architecture, and disaster recovery — areas where many existing systems still fall short.

DolphinDB Solution

Data Architecture

Technical Architecture

Unified Multi-Source Data Ingestion

  • Built-in plugins for OPC UA/DA, MQTT, ODBC, MySQL, Kafka, and more enable unified connectivity across acquisition protocols and business systems — eliminating redundant sync pipelines.
  • A multi-modal storage engine handles time-series, static, and GIS data (WKB, WKT) in a single platform, supporting PB-scale distributed tables with millisecond write and query response, reducing integration and long-term maintenance complexity.

Real-Time Network Monitoring and Intelligent Analytics

  • A high-performance stream processing framework with 10+ built-in engines — including rule engine and lookup join — delivers millisecond-level anomaly detection across pressure, flow, and water quality metrics, with alert delivery via email and external alarm systems.
  • Dozens of built-in machine learning algorithms provide a unified modeling environment for leakage analysis, hydraulic simulation, and dispatch pressure forecasting, enabling historical and real-time data to be analyzed together, shifting from experience-driven to data-driven decision-making.

Integrated Architecture for Water Supply Security

  • An all-in-one architecture covering ingestion, storage, computation, and analytics simplifies the technology stack and reduces operational risk from multi-component integration.
  • Built-in high-availability mechanisms alongside storage encryption, transport encryption, user authentication, and audit logging provide comprehensive security coverage for long-term stable operation and business continuity.

Key Benefits

City-Wide Real-Time Monitoring and Security

DolphinDB's PB-scale real-time processing supports network monitoring across entire cities and tens of millions of smart endpoints. Millisecond-level stream processing continuously detects anomalies across pressure, flow, and water quality metrics — building a reliable data defense for urban water supply security.

Deeper Data Value

By unifying historical and real-time data across multiple sources, DolphinDB supports DMA leakage analysis, hydraulic modeling, and LLM-integrated water utility RAG applications — enabling proactive leakage localization and consumption forecasting rather than reactive response.

Simplified Architecture

Replacing multi-component stacks with a unified platform delivers higher performance while reducing hardware costs by approximately 40%. Built-in scripting and water utility analytics functions enable rapid deployment from algorithm prototype to production streaming service — accelerating smart water application development.

Ready to Build a Smarter Water Utility?
Discover how DolphinDB can help your team:
pointUnify high-frequency operational and metering data from pipelines, treatment plants, pump stations, and smart meters
pointMonitor supply status in real time to support leakage analysis, water balance, and anomaly alerting
pointAnalyze consumption trends and operational metrics to optimize dispatch and energy management
pointConnect production, O&M, and business analytics into a unified data pipeline for precision management
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