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Updated: Jun 11, 2025

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Multi-Position Inertial Alignment Method for Underground Pipelines Using Data Backtracking Based on Single-Axis

Jiachen Liu1, Lu Wang1, Yutong Zu1

  • 1Faculty of Engineering Technology, China University of Geosciences (Beijing), Beijing 100083, China.

Micromachines
|September 28, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new multi-position initial alignment method for accurate underground pipeline trajectory mapping using Fiber Optic Gyroscope (FOG) and Micro-Electro-Mechanical Inertial Measurement Unit (MIMU) data. The method significantly improves 3-D pipeline positioning accuracy.

Keywords:
data backtrackinginitial alignmentmulti-position initial alignmentpipeline three-dimensional trajectory measurement

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Area of Science:

  • Geomatics Engineering
  • Inertial Navigation Systems
  • Geophysical Surveying

Background:

  • Accurate 3D trajectory mapping of underground pipelines is crucial for infrastructure management.
  • Traditional inertial measurement methods rely on initial attitude determination, often hindered by complex urban magnetic fields.
  • Inaccurate initial attitude leads to significant errors in pipeline trajectory reconstruction.

Purpose of the Study:

  • To develop a novel multi-position initial alignment method for enhancing the accuracy of underground pipeline inertial measurement.
  • To overcome the limitations of traditional magnetometer-based initial attitude determination in challenging environments.
  • To improve the precision of 3D trajectory data for underground pipelines.

Main Methods:

  • Proposed a multi-position initial alignment method utilizing a single-axis Fiber Optic Gyroscope (FOG) and a three-axis Micro-Electro-Mechanical Inertial Measurement Unit (MIMU).
  • Designed a three-position alignment scheme based on the pipeline measuring instrument's three-point support structure.
  • Developed an initial alignment algorithm employing data backtracking for both rough (FOG) and fine (FOG/MIMU) alignment.

Main Results:

  • Experimental validation demonstrated high accuracy with pitch and roll angle errors under 0.05°.
  • Azimuth angle errors were found to be less than 0.2°.
  • The proposed method significantly improved the precision of the 3D trajectory of underground pipelines.

Conclusions:

  • The novel multi-position initial alignment method effectively addresses the inaccuracies associated with traditional methods in complex magnetic environments.
  • The combined use of FOG and MIMU data with a data backtracking algorithm provides a robust solution for precise initial attitude determination.
  • This advancement offers a more reliable approach for accurate 3D mapping and management of underground pipeline infrastructure.