Scheme overview

The distributed optical fiber temperature measurement system (DTS) and distributed optical fiber acoustic wave analysis system (DAS) are used in this scheme to carry out all-round and real-time monitoring of steam pipelines, and realize accurate early warning and positioning of pipeline leakage and water hammer effect.

1. Distributed Optical Fiber Temperature Measurement System (DTS) :

o Real-time monitoring of the temperature distribution on the surface of the steam pipeline by laying temperature sensing optical cables on the surface of the pipeline.

When a leak occurs in the pipeline, the temperature near the leak point increases significantly, and the system quickly captures abnormal temperature changes and accurately locates the leak point.

o The system supports multi-point synchronous monitoring, which is suitable for long-distance and large-scale steam pipeline networks.

2. Distributed Optical Fiber Acoustic Wave Analysis System (DAS) :

o Using optical fiber as the sensing medium, real-time capture of vibration and acoustic signals during pipeline operation.

o When the water hammer effect occurs, there will be strong pressure fluctuation and vibration inside the pipeline, and the system can timely warn the water hammer effect by analyzing the characteristics of the acoustic signal.

The system can also identify the fluid flow status in the pipeline, providing data support for the optimization of pipeline operation.

Program advantage

· Comprehensive monitoring: cover the whole steam pipeline without monitoring blind areas.

· Real-time warning: second-level response speed, quick detection of leaks and water hammer effect.

· Accurate positioning: the positioning accuracy of the leak point can reach the level of meters, and the positioning accuracy of the water hammer effect is high.

· Strong anti-interference ability: optical fiber sensing technology is not subject to electromagnetic interference and is suitable for complex industrial environments.

· Long range coverage: A single system can cover tens of kilometers of pipelines, reducing deployment costs.

· Intelligent analysis: Combining big data and artificial intelligence algorithms to achieve fault prediction and operation optimization.