
Distributed Fiber Optic Monitoring System
Environmental disturbances around optical fibers can cause changes in fiber core parameters such as fiber length, diameter, and refractive index, further modulating backscattered light and altering its intensity, phase, and frequency. Establishing a link between disturbance events and optical signals enables the identification and localization of these events. AI deep learning neural network algorithms can be used to improve the accuracy of identifying fiber breakage and third-party intrusion events, reducing false alarms and missed alarms.
Description
Environmental disturbances around optical fibers can cause changes in fiber core parameters such as fiber length, diameter, and refractive index, further modulating backscattered light and altering its intensity, phase, and frequency. Establishing a link between disturbance events and optical signals enables the identification and localization of these events. AI deep learning neural network algorithms can be used to improve the accuracy of identifying fiber breakage and third-party intrusion events, reducing false alarms and missed alarms. This can be combined with a drone-based platform for integrated "early warning-survey" management. For PCCPs (Polycrystalline Cryogenic Fiber Optics), a PCCP structural risk assessment system can be used to evaluate the safety margin after a fiber breakage.
Features
Extended Monitoring, Real-time Alarms, Strategic Planning
A single unit covers 50 kilometers, providing second-level response to security incidents and real-time monitoring of pipeline safety information.
Easy Deployment, Precise Positioning, Long-Range Advantage
Utilizing dedicated sensor optical cables, remote deployment achieves meter-level positioning accuracy.
Morphological Recognition to Determine Threat Levels
Feature extraction, pattern recognition, and big data + AI-assisted threat event type determination and classification.
Technical indicators
The system consists of optical fiber cables laid alongside the pipeline, monitoring hosts with different functions, and a control center hardware and software system.
Optical Fiber Cables: Different types of optical fibers are selected based on the type of monitored event (e.g., vibration, strain) and the differences in monitoring principles; the laying method (inside or outside the pipeline) is chosen based on the characteristics of the monitored event and deployment conditions.
Monitoring Hosts: Different types of monitoring hosts with different functions are selected based on the type of monitored event (e.g., vibration, strain). Commonly used hosts include vibration monitoring hosts, sound reproduction monitoring hosts, strain monitoring hosts, and temperature monitoring hosts.
Application fields
It is suitable for third-party intrusion monitoring, uneven settlement monitoring, broken wire monitoring (PCCP), and leak monitoring (thermal) of oil, gas, heat, water, and municipal pipelines. It can be used with ductile iron pipes, steel pipes, plastic pipes, concrete pipes, etc., without being limited by pipe material. By the end of 2024, it had been applied to the monitoring of approximately 1000 km of water pipelines, 100 km of municipal trunk pipelines, and a large number of oil, gas, and heat pipelines.
Why Choose US
This fiber sensing monitoring system captures subtle ambient changes that tweak fiber core properties, and tracks shifts in backscattered light signals. We match signal variations with actual disturbances to locate trouble spots accurately.
Embedded AI neural network lifts detection precision for wire fracture and outside invasion. It keeps false alerts and missed risks well under control. Drones connect seamlessly with the system to realize one-stop warning and field inspection. It also teams up with structural evaluation tools to check safety conditions of PCCP pipes after wire damage.
One single device keeps watch over 50 kilometers of pipelines. It sends out instant alerts within seconds once abnormal conditions emerge. Professional sensing cables support flexible layout ways, delivering positioning accuracy down to meters.
The system extracts signal features and adopts big data analysis to sort out different threat grades. We pick matching fiber types and monitoring terminals targeting vibration, strain and temperature monitoring demands. It works steadily with ductile iron, steel, plastic and concrete pipes of all kinds.
Practical field application has covered thousands of kilometers of water supply, municipal, oil, gas and heating pipelines, proving reliable performance across diverse engineering scenarios.
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