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Fiber Optic Early Warning System

The fiber optic early warning system leverages distributed fiber optic sensing technology combined with AI algorithms to monitor pipeline vibrations, temperature, and acoustic changes in real-time, providing early warnings for threats such as leaks and third-party construction (e.g., mechanical excavation or oil theft). It integrates drones, video surveillance, and mobile devices to establish a three-dimensional protection system from "underground to aerial to ground," enabling intelligent security throughout the pipeline lifecycle.It is suitable for oil and gas pipeline industry, perimeter security (e.g., airports, military bases), industrial equipment monitoring (e.g., steel plants, coal mines).
 
Features:
1.Long-distance monitoring: Single-channel monitoring distance up to 60 km, covering extensive areas.
2.AI intelligent identification: Utilizes machine learning and acoustic analysis to achieve an alarm accuracy rate of ≥95%, reducing false alarms.
3.Multi-system linkage: Support seamless integration with drones, cameras, and mobile devices for automated inspection and real-time response.
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  • PIS

  1. Cost reduction: Minimize manual patrol needs, saving significant patrol expenses, and reduces operational costs by over 30%.

  2. Efficient monitoring: 24/7 all-weather coverage with a response time of ≤3 seconds, improving incident handling efficiency.

  3. High reliability: Comply with standards like the National Pipeline Group DEC documents, with a localization rate over 80% and strong anti-interference capability.

  4. Rapid deployment: Experienced delivery team shortens project cycles to 1-2 months, supporting customized solutions.

  5. Autonomous optimization: AI self-learning mechanism continuously optimizes models via drone feedback, becoming more accurate with use.

  1. Monitoring distance: Single channel ≥50 km (max 60 km).

  2. Positioning accuracy: Field ≤±25 m, indoor ≤±2.5 m.

  3. Alarm accuracy rate: ≥95%, false alarm rate ≤5 times/km/month.

  4. Response time: ≤3 seconds.

  5. Operating temperature: -5℃ to +45℃.

  6. Power supply: AC 220V, power consumption ≤100W.

  7. Communication interface: Gigabit Ethernet port, supports Modbus/TCP protocol.

  8. Reliability: Mean time between failures ≥200,000 hours, availability ≥0.99999.

  1. Oil and gas pipeline safety: Real-time warning against threats like oil theft and mechanical construction, e.g., the Shandong Branch project of the National Pipeline Group, which successfully handled multiple third-party damage incidents.

  2. Perimeter security: Intrusion detection for airports and military bases, identifying behaviors like fence climbing.

  3. Industrial equipment monitoring: Fault diagnosis for conveyors and rollers, enhancing equipment reliability.

  4. Pig tracking: Real-time positioning of pipeline cleaning balls and speed analysis for maintenance optimization.

Frequent Questions
  • 1. How does the system distinguish real threats from environmental interference?​
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    The AI algorithm analyzes vibration feature maps and acoustic fingerprints, combined with self-learning from historical data, effectively filtering interferences like farming or traffic, with an alarm accuracy rate of ≥95%.
  • 2. How do drones integrate with the system?​
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    When an alarm triggers, the system automatically sends coordinates to the drone platform; drones conduct autonomous patrols and return video for rapid verification, with optional manual remote control.
  • 3. Can the system operate without network connectivity?​
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    It supports edge computing for local data processing; an offline mode is available for stable operation in remote areas.
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