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<p>Aiming at the issues in existing pipeline internal inspection pig tracking technologies, such as the inability to precisely monitor real-time pig status, insufficient positioning accuracy and difficulty in rapidly identifying stuck pig locations during blockage incidents, this study proposes a BeiDou-based tracking algorithm for long-distance pipeline pigging operations. The solution involves deploying BeiDou precision positioning marker devices along pipelines to leverage the systems high-precision positioning, time synchronization, and short message communication capabilities, thereby acquiring accurate positional data and pig passage timestamps. The algorithm employs a segmented velocity method integrated with pipeline GIS data and BeiDou positioning technology to calculate pig positions and predict movement trends across various terrains. By establishing an internal detector motion model that incorporates key parameters including pipeline gradient, bend pressure differentials, resistance coefficients, and detector weight for non-horizontal pipelines and curved sections, we introduce dynamic velocity adjustment factors to optimize the segmented velocity method, thereby enhancing positioning accuracy for both normal operation and stuck pig scenarios. This cloud-embedded algorithm enables real-time operational monitoring and anomaly alerts through an APP client interface. Test results indicated that algorithm outperforms traditional GPS-based pig tracking and fiber-optic vibration sensing technologies in positioning accuracy, stuck ball response efficiency and adaptability to complex terrains. Under complex terrain conditions, the measured positioning error ranged from 9 to 13 meters. Detection balls position update frequency reached 30-second intervals, enabling continuous trajectory tracking. Early warning response time for stuck balls had been reduced to within 10 minutes. This technology provides real-time and reliable technical support for pipeline safety operation and maintenance.</p>

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Algorithm Implementation of Long-Distance Pipeline Pig Tracking Operation Based on Beidou Technology

  • 期刊论文

  • 发表日期：

    2025年11月1日

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  • Baolong Yang,
  • Zhengxiong Zhang,
  • Yongjun Cai,
  • Feng Wang,
  • Shaohua Cui,
  • Tianmin Chen

摘要

Aiming at the issues in existing pipeline internal inspection pig tracking technologies, such as the inability to precisely monitor real-time pig status, insufficient positioning accuracy and difficulty in rapidly identifying stuck pig locations during blockage incidents, this study proposes a BeiDou-based tracking algorithm for long-distance pipeline pigging operations. The solution involves deploying BeiDou precision positioning marker devices along pipelines to leverage the systems high-precision positioning, time synchronization, and short message communication capabilities, thereby acquiring accurate positional data and pig passage timestamps. The algorithm employs a segmented velocity method integrated with pipeline GIS data and BeiDou positioning technology to calculate pig positions and predict movement trends across various terrains. By establishing an internal detector motion model that incorporates key parameters including pipeline gradient, bend pressure differentials, resistance coefficients, and detector weight for non-horizontal pipelines and curved sections, we introduce dynamic velocity adjustment factors to optimize the segmented velocity method, thereby enhancing positioning accuracy for both normal operation and stuck pig scenarios. This cloud-embedded algorithm enables real-time operational monitoring and anomaly alerts through an APP client interface. Test results indicated that algorithm outperforms traditional GPS-based pig tracking and fiber-optic vibration sensing technologies in positioning accuracy, stuck ball response efficiency and adaptability to complex terrains. Under complex terrain conditions, the measured positioning error ranged from 9 to 13 meters. Detection balls position update frequency reached 30-second intervals, enabling continuous trajectory tracking. Early warning response time for stuck balls had been reduced to within 10 minutes. This technology provides real-time and reliable technical support for pipeline safety operation and maintenance.