ROSSMA Pipeline Leak Detector — Dashboard Light
ROSSMA Pipeline Leak Detector — Pipeline Monitoring & Leak Detection System
Software platform for automated monitoring and leak detection in pipeline systems based on LPWAN technologies and data analysis algorithms.
New
Recommended
LoRaWAN
NB-IoT
Price on request
Overview
ROSSMA Pipeline Leak Detector is a software platform for continuous pressure and flow monitoring in pipelines. The system analyzes data from the ROSSMA IIOT-AMS wireless sensor network and automatically detects anomalies characteristic of leaks.
- Automatic leak detection based on pressure patterns
- Leak localization accurate to pipeline section
- Real-time Telegram notifications and email alerts
- Integration with SCADA and DCS via OPC UA / REST API
- Historical data archive and automated reports
Frequently Asked Questions
How does the leak detection system work?
ROSSMA Pipeline Leak Detector is a software platform for automatic pipeline monitoring. Uses data from wireless ROSSMA pressure, flow, and temperature sensors to detect leaks through data analysis algorithms.
What types of pipelines are monitored?
Oil pipelines, gas pipelines, water mains, and heating networks. The system analyzes pressure, flow, and temperature changes to detect leaks at early stages.
Is pipeline cabling required?
No. Data is collected from wireless ROSSMA IIOT-AMS sensors installed at pipeline checkpoints. LoRaWAN communication — range up to 15 km per point.
How quickly is a leak detected?
Detection time depends on sensor polling interval and leak type. Sudden failures — within minutes. Slow leaks — through accumulated deviation statistics.
How does data reach the dispatch center?
Through ROSSMA IIOT-NETS with alarms forwarded to SCADA via Modbus TCP, MQTT, or REST API. Notifications via SMS, email, and Telegram.
Interested ROSSMA Pipeline Leak Detector — Pipeline Monitoring & Leak Detection System?
Office
9D Chkalova St., office 320, 322
Perm, Perm Krai
Russia, 614064
Manufacturing
9 Chkalova St., building 3
Perm, Perm Krai
Russia, 614064