光纤预警系统在第三方损坏风险防控中的优化应用  

Optimized application of optical fiber pre-warning systems for third-party damage risk prevention and control

作　　者：赵晨 王宝岩 雷宏峰 赵磊 WANG Baoyan;ZHAO Chen;LEI Hongfeng;ZHAO Lei(National Pipeline Network Group Shandong Company;PipeChina Beijing Pipeline Co.,Ltd.)

机构地区：[1]国家管网集团山东分公司 [2]国家管网集团北京管道公司

出　　处：《管道保护》2025年第2期84-90,共7页

摘　　要：光纤传感预警系统作为长输油气管道智能防护的核心技术,其精准识别能力直接影响到第三方施工风险的防控效能。针对复杂地域环境干扰导致的振动信号误判率高、风险分类模糊、地区差异性大等痛点,提出基于深度学习的智能预警优化方案。通过构建“端边云”三层系统架构,融合AI大模型识别算法,精确区分振动事件与有效告警。通过算法优化与阈值配置,充分考虑地域特征多样性,大幅提升各类活动干扰下风险识别精度与系统适应性,通过完善的管控策略以及预警分类分级机制加速响应,实现“光纤安全预警+人工巡护”的第三方损坏风险防控新范式。The accurate identification capability of the optical fiber sensing pre-warning system,as a core technology for intelli‐gent protection of long-distance oil and gas pipelines,directly impacts the efficiency of third-party construction risk prevention and control.To address challenges such as high misjudgment rates of vibration signals,ambiguous risk classification,and significant regional variations due to interference in complex geographical environments,an intelligent pre-warning optimization solution based on deep learning was proposed.A three-tier system architecture of"terminal-edge-cloud"was established,integrating a large AI model recognition algorithm to accurately distinguish vibration events from effective alarms.Algorithm optimization and threshold configuration significantly enhanced risk identification accuracy and system adaptability under activ‐ity interference.The response was speeded up through optimized management and control strategies,along with pre-warning classification and grading mechanisms,establishing a new paradigm for third-party damage risk prevention and control with“optical fiber safety pre-warning+manual patrol”.

关 键 词：长输油气管道巡护 光纤预警系统 区域规则 阈值配置 算法优化 

分 类 号：TN915[电子电信—通信与信息系统]