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A Multi-Sensor Based Roadheader Positioning Model and Arbitrary Tunnel Cross Section Automatic Cutting.

Changqing Yan1, Wenxiao Zhao2, Xinming Lu3,4

  • 1Department of Information Engineering, Shandong University of Science and Technology, Tai'an 271000, China.

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|November 20, 2019
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Summary
This summary is machine-generated.

This study introduces a multi-sensor system for autonomous roadheader positioning and posture detection, enabling precise automated tunneling and robotization. The developed method ensures accurate trajectory planning and execution for unmanned excavation.

Keywords:
automatic cuttingmulti-sensorpositioning modelroadheader

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Area of Science:

  • Robotics and Automation
  • Geotechnical Engineering
  • Tunneling Technology

Background:

  • Autonomous tunneling requires precise roadheader localization and posture detection.
  • Existing methods face challenges in real-time accuracy and adaptability for complex tunneling operations.

Purpose of the Study:

  • To develop and validate a multi-sensor based positioning method for autonomous roadheader posture detection and self-localization.
  • To enable flexible trajectory planning and automatic cutting procedures for enhanced tunneling efficiency.

Main Methods:

  • Integration of an inertial system, total station, and hydraulic cylinder sensors for comprehensive roadheader measurement.
  • Development of a positioning model for accurate roadheader and cutter localization.
  • Implementation of flexible trajectory planning algorithms for automated excavation paths.

Main Results:

  • Experimental validation confirms high accuracy and efficiency of the proposed positioning method and model.
  • Demonstrated ability to generate arbitrary shapes automatically and precisely via planned trajectories.
  • Successful application in practical tunneling, achieving reliable autonomous operation.

Conclusions:

  • The multi-sensor positioning system and associated models are effective for autonomous roadheader operation.
  • The proposed methods facilitate precise trajectory planning and automated cutting, paving the way for unmanned tunneling.
  • This advancement significantly enhances efficiency and accuracy in tunneling operations.