长输管道全生命周期应变监测系统的开发与应用

Development and application of a full-lifecycle strain monitoring system for long-distance pipelines

  • 摘要:
    目的 长输油气管道在制管、施工与运维的全生命周期中受多场耦合载荷作用,易在局部区域产生应力集中,进而对结构完整性构成潜在威胁。然而,现有监测技术普遍存在全生命周期覆盖不完整、系统组件协同性不足以及工程适配性差等问题,难以实现对管道应变状态的连续、高效监测。因此,亟需研发一套能够贯穿管道全生命周期、具备高可靠性与良好工程适用性的应变监测系统,以实现对管道应变行为的全过程可视化感知与智能化管理,提升管道运行的安全性与可维护性。
    方法 设计并构建了一套由柔性超薄应变传感器、数据采集装置、数据处理平台及可视化终端组成的集成化应变监测系统:采用柔性FPC基板,研制了可同步采集轴向、环向应变与温度变化的柔性超薄传感器,其具备“预埋-外贴”双模式布设能力;开发了集成射频识别模块、多级电磁防护及“本地缓存+远程传输”双模传输的数据采集装置,确保传感器与采集装置的高效协同;基于云服务架构搭建了支持数据远程入库、存储、实时分析的处理平台,并在终端模块实现了数据可视化展示、自动生成监测报告及远程协同管理。该系统在中缅管道动火换管现场应用,布设两个监测截面、8个测点,采用5Hz高频采集,并以光纤光栅传感器作为参考进行对比验证。
    结果 现场应用结果表明:①系统部署便捷,全程数据连续无缺失,验证了其在复杂地质与强施工扰动下的稳定性与可靠性;②传感器测量精度高,与光纤传感器监测结果的轴向应变变化量相对误差仅为3.0%;③系统成功捕捉到切割阶段应力释放、焊接升温阶段热膨胀效应及降温阶段残余应变等全过程动态响应。
    结论 该系统实现了传感器、采集装置、处理平台及终端的高效协同,突破了现有技术在全生命周期覆盖与工程适配性方面的局限,为长输管道结构安全评估提供了可靠的数据支撑和技术手段。未来研究将深化多源数据融合与数字孪生技术在管道应变监测中的集成应用,以推动管道安全管理向智能化方向演进。

     

    Abstract:
    Objective Long-distance oil and gas pipelines experience multi-field coupling loads throughout their lifecycle—including manufacturing, construction, operation, and maintenance—which can cause localized stress concentrations and threaten structural integrity. However, current monitoring technologies often lack comprehensive lifecycle coverage, effective system integration, and robust engineering adaptability, making continuous and efficient strain monitoring difficult. Therefore, there is an urgent need for a highly reliable strain monitoring system with excellent engineering applicability that covers the entire pipeline lifecycle, enabling comprehensive visual perception, intelligent management of strain behavior, and enhanced pipeline safety and maintainability.
    Methods An integrated strain monitoring system, comprising a flexible ultra-thin strain sensor, data acquisition device, data processing platform, and visualization terminal, was designed and constructed. A flexible ultra-thin sensor, capable of simultaneously measuring axial and circumferential strains as well as temperature changes, was developed using a flexible FPC substrate and could be installed in both embedded and externally attached modes. A data acquisition device, incorporating a radio-frequency identification module, multi-level electromagnetic protection, and dual-mode transmission (“local caching + remote transmission”), was developed to ensure efficient integration with the sensor. A cloud-based data processing platform was established to support remote storage and real-time analysis, while data visualization, automated report generation, and remote collaborative management were achieved through the terminal module. The system was applied to the on-site hot-tapping and pipe-replacement project of the Sino-Myanmar Pipeline, where two monitoring sections and eight measuring points were set up, high-frequency data acquisition at 5 Hz was adopted, and the fiber Bragg grating (FBG) sensor was used as the reference for comparative verification.
    Results On-site application demonstrated that: (1) the system was easily deployed, with continuous, loss-free data confirming its stability and reliability under complex geological conditions and intense construction disturbances; (2) the sensor exhibited high measurement accuracy, with axial strain relative error of only 3.0% compared to fiber-optic sensor results; (3) the system successfully captured dynamic responses throughout the process, including stress release during cutting, thermal expansion during welding heating, and residual strain during cooling.
    Conclusion The system achieves efficient synergy among the sensor, acquisition device, processing platform, and terminal, overcoming existing limitations in full-lifecycle coverage and engineering adaptability. Reliable data support and technical means are provided for the structural safety assessment of long-distance pipelines. Future research will focus on advancing the integrated application of multi-source data fusion and digital twin technology in pipeline strain monitoring to promote intelligent pipeline safety management.

     

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