Pipeline Leak Detection

Pipeline Leak
Detection & Localization

Intelligent pipeline monitoring powered by LoRaWAN IoT sensors, Negative Pressure Wave (NPW) analysis, and machine learning

NPW Analysis LoRaWAN IoT AI / ML ISA-101 SCADA-Ready TimescaleDB
24/7 Monitoring
Accuracy ±50 m
Detection < 60 sec
24/7
Continuous monitoring
<1%
Minimum detectable leak
<60sec
Detection time
±50m
Localization accuracy

Detection Methods

Four independent analysis methods combined into a unified decision-making system

NPW Localization

Negative Pressure Wave analysis. Instant detection of ruptures and major leaks with ±50 m accuracy over 10 km sections. Coordinate determination by wave arrival time difference.

AI/ML Detector

Machine learning based on Isolation Forest. Automatic detection of slow leaks, anomalous patterns, and pressure drifts. Self-learning on historical data for each pipeline.

Hydraulic Gradient

Pressure profile analysis along the pipeline considering terrain elevation. Detection of gradient anomalies indicating leak location. Works for slowly developing damages.

Material Balance

Comparison of inlet and outlet flow rates. Flow difference indicates a leak and allows volume estimation. Reliable method for steady-state operating conditions.

Decision Fusion

Combining results from four methods into a unified decision with weighted voting. Minimizing false alarms. Automatic incident severity classification.

How It Works

From sensor to operator alert — full cycle in seconds

1

Data Collection

ROSSMA IIOT-AMS P-Meter pressure sensors transmit measurements via LoRaWAN through gateways to the ROSSMA IIOT-NETS platform

ROSSMA IIOT-NETS LoRaWAN ChirpStack
2

Processing

FastAPI backend receives data via MQTT, performs NPW analysis, hydraulic gradient and AI/ML assessment

FastAPI MQTT TimescaleDB
3

Detection

Decision Fusion combines 4 methods, determines leak coordinates on the map and classifies incident severity

Decision Fusion GIS
4

Alerting

Operator receives real-time notification with leak coordinates on the map and remediation recommendations

WebSocket ISA-101

Key Specifications

±50m
NPW leak localization accuracy
<60sec
Critical leak detection time
0.3%
Minimum detectable leak rate
4
Independent detection methods
10km
Maximum NPW range per section

System Architecture

Modular architecture based on open standards and industrial protocols

Pressure Sensors ROSSMA IIOT-AMS P-Meter LoRaWAN Gateway 868 MHz, Class A ROSSMA IIOT-NETS IoT Platform MQTT Mosquitto FastAPI Backend NPW + AI/ML + Gradient + Fusion Python 3.11 + SQLAlchemy PostgreSQL TimescaleDB Extension REST API OpenAPI + JWT Auth ROSSMA Pipeline Leak Detector Pipeline Leak Detection System WebSocket (real-time)

System Interface

Modern web interface compliant with ISA-101 HMI standard

ROSSMA Pipeline Dashboard ROSSMA Pipeline Dashboard
Main monitoring dashboard with real-time system metrics
ROSSMA Pipeline Network Map ROSSMA Pipeline Network Map
Interactive map displaying sensors, leaks and section status
ROSSMA Pipeline Leak Events ROSSMA Pipeline Leak Events
Leak event monitoring and management with Decision Fusion

Industries

The system supports 5 fluid types — from drinking water to natural gas

Water

Water Supply

Trunk water pipelines, urban distribution networks, industrial water supply. Pressure monitoring for detecting bursts and hidden leaks.

Commercial Oil

Oil Transportation

Trunk oil pipelines, pumping stations, tank farms. Single-phase pumping after separator with product loss control.

Field Oil

Oil Production

Field pipelines, multiphase pumping of oil+water+gas. Water cut and gas volume fraction taken into account during leak analysis.

Natural Gas

Gas Transportation

Trunk gas pipelines, distribution networks. Analysis considering gas compressibility and critical outflow during depressurization.

Heat Carrier

District Heating

Heating mains, heat substations, central heating systems. Monitoring hot water 60–90 °C with temperature corrections.

Economic Efficiency

System payback within the first months of operation through loss prevention

15–30%
Reduction in leak losses
< 6 mo.
System payback period
70%
Reduction in response time
Parameter Without System With ROSSMA PLD
Leak detection Hours – days (visual patrol) < 60 seconds (automatic)
Localization accuracy Kilometers (manual search) ±50 m (NPW + Decision Fusion)
False alarms < 5% (4 verification methods)
Minimum detectable leak > 5% of flow 0.3% of flow
Monitoring Periodic patrol 24/7 real-time

Key Benefits

Reduction in product losses
Prevention of environmental fines
Lower emergency repair costs
Improved personnel safety
Compliance with industrial safety requirements

Start Pipeline Monitoring Today

Connect the leak detection system to your infrastructure and ensure pipeline safety in real time

Office

9D Chkalova St., office 320, 322 Perm, Perm Krai Russia, 614064

Manufacturing

9 Chkalova St., building 3 Perm, Perm Krai Russia, 614064

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