盾构刀盘原位修复机器人多传感器融合定位系统与方法

By using multi-sensor fusion and factor graph optimization, the problem of high-precision positioning of the shield cutterhead in-situ repair robot under extreme working conditions was solved, and high-precision shield cutterhead repair was achieved.

CN121185276BActive Publication Date: 2026-07-17CHINA UNIV OF MINING & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA UNIV OF MINING & TECH
Filing Date
2025-09-03
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing in-situ repair robots for tunnel boring machine cutterheads have large positioning errors under extreme working conditions, resulting in a low repair pass rate and difficulty in achieving high-precision positioning in narrow spaces.

Method used

By employing a six-axis IMU sensor, a deflection angle measuring instrument, a GNSS positioning instrument, and a UWB positioning module, combined with a three-probe ultrasonic rangefinder, an infrared visual imager, and a camera monitor, high-precision positioning is achieved through multi-sensor data fusion and factor graph optimization.

Benefits of technology

High-precision positioning was achieved under extreme working conditions, abnormal data was eliminated, the uniformity of the cladding layer thickness was ensured, and the repair qualification rate was improved.

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Abstract

本发明公开了盾构刀盘原位修复机器人多传感器融合定位系统与方法,系统包括设于盾构刀盘原位修复机器人上的六轴IMU传感器、偏转角度测量仪、GNSS定位仪和UWB定位模块,盾构刀盘原位修复机器人的末端执行器上连接有安装座,安装座上嵌设有驱动电机,驱动电机的动力输出端连接有转动盘,转动盘上固定有中央处理器及其连接的三探头超声测距仪、红外视觉成像仪、摄像头监控器;方法包括:时间同步、六IMU传感器短时位姿推算、UWB冗余定位、超声测距抗干扰、CAD辅助视觉SLAM、多传感器数据融合模块紧耦合因子图优化。本发明能够适用盾构刀盘原位修复的极端工况,实现高精度定位。
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