A sense-passive integrated cooperative passive optical network system

By introducing an integrated architecture of 'sensing, communication, and computing'—comprising fiber optic sensing units, fiber optic communication units, and artificial intelligence optical computing units—into the NG-PON system, the difficulties in fault detection and location in the NG-PON system are solved, achieving efficient and low-cost fault monitoring and location, and supporting autonomous network management.

CN119727899BActive Publication Date: 2026-07-14THE 54TH RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY GROUP CORPORATION
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
THE 54TH RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY GROUP CORPORATION
Filing Date
2024-11-29
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing NG-PON systems face difficulties in fault detection and localization, especially due to the difficulty in distinguishing between low signal power and reflected signals caused by the superposition of backscattered signals from multiple branches. This limits the applicability of traditional OTDR methods, while also presenting the problem of high operating costs.

Method used

A collaborative passive optical network architecture integrating sensing, communication, and computing is adopted, combining fiber optic sensing units, fiber optic communication units, and artificial intelligence-based optical computing units. By monitoring the physical layer status through fiber optic sensing and analyzing OTDR trace events using AI models, high-precision fault detection and location are achieved.

Benefits of technology

It enables automated and autonomous fault detection and location of NG-PON systems, reduces operating costs, improves the efficiency and accuracy of fault monitoring, and supports self-configuration, self-optimization, and self-repair capabilities.

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Abstract

The application discloses a sensing and communication integrated cooperative passive optical network system and belongs to the technical field of optical communication and optical network. The system comprises a fiber sensing unit, a fiber communication unit and an optical computing unit based on artificial intelligence. The fiber sensing unit monitors, trains and measures the state of the physical layer in the life cycle of the optical network physical architecture and provides feedback to the optical computing unit for performing link diagnosis and fault detection tasks. The fiber communication unit comprises an optical coherent transceiver and a fiber transmission channel with optical performance monitoring as the main body. The optical computing unit forms an observation-judgment-execution control loop in a short observation window. The application realizes the connection identification of the power divider branch of the ONU by OTDR testing and completes the fault monitoring and positioning of the PON system.
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